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Python

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by TUKET BO
In this tutorial, we will learn how to embed Python in a C++ application. In particular, we are going to see an example in which we will be able to interact with a GUI (made with GTK+).
by Aydin Homay
In this article, I tried to show a real benchmark based on presser test method, for a Big Data collection deals on C++, C#, and VB.NET.
by Jerry.Wang
Modify methods' IL codes on runtime even if they have been JIT-compiled, supports release mode / x64 & x86, and variants of .NET versions, from 2.0 to 4.5.
by The Zakies
Question answer chatbot using natural language parsing and web scrapping

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by TUKET BO
In this tutorial, we will learn how to embed Python in a C++ application. In particular, we are going to see an example in which we will be able to interact with a GUI (made with GTK+).
by Aydin Homay
In this article, I tried to show a real benchmark based on presser test method, for a Big Data collection deals on C++, C#, and VB.NET.
by Jerry.Wang
Modify methods' IL codes on runtime even if they have been JIT-compiled, supports release mode / x64 & x86, and variants of .NET versions, from 2.0 to 4.5.
by The Zakies
Question answer chatbot using natural language parsing and web scrapping

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Python 

by Aydin Homay
In this article, I tried to show a real benchmark based on presser test method, for a Big Data collection deals on C++, C#, and VB.NET.
by Jerry.Wang
Modify methods' IL codes on runtime even if they have been JIT-compiled, supports release mode / x64 & x86, and variants of .NET versions, from 2.0 to 4.5.
by The Zakies
Question answer chatbot using natural language parsing and web scrapping
by Tomasz Naumowicz
Take a closer look at scenarios where working with GUID and UUID in a MongoDB environment becomes tricky. We will make you aware of those configurations and provide a set of best practices to follow.
by Cloudster
Deploy a 360 image gallery with Django, Bootstrap, Python, A-Frame, and PostgreSQL
by Stephan Ofosuhene
This article takes a look at a variety of tools available from Intel: Intel® Movidius™ Neural Compute Stick, Intel® Python Distribution for Python™, Intel® Math Kernel DNN Library, Intel® Data Analytics Acceleration Library, Intel Distribution of OpenVINO™ Toolkit
by Ghazanfar_Ali
Implementation of A* algorithm using Python and PyGame for solving an 8-Puzzle automatically.
by Dominic Abraham
This article is to give you a basic introduction to Python programming language with small examples. It will help to start with your first Python program.
by Software Developer's Journal
This article aims to explore the basic ideas and principles about noSQL databases. noSQL caters to database admins, programmers, coders, web devs, etc.
by deangi
A DIY digital picture frame application in Python
by Joe Programmer 1
What's going on with lambda expressions, anonymous functions, and all that stuff?
by Dr. Song Li
Discussion about AWS CLI & SAM CLI
by Dr. Song Li
A discussion of auto-start services and how to manage and manually start/stop the services
by Dr. Song Li
This is a note on Python, Virtualenv,  VSC Integration, and Miscellaneous topics.
by Luke Tucker
How I built a minimally viable data application for looking at airline stocks using Exaptive Studio
by Thomas Daniels
This article describes the working and the usage of my CodeProject API wrapper, written in Python.
by fnwinter
A simple Telnet server written using Python
by fnwinter
Help to make a skinned dialog program easily in Python, XML with a UI window DLL.
by Zebedee Mason
Visual C++ tests are created from Gherkin DSL feature files using a Python 2.7 script
by Jozu MLOps
In this article, we build a Retrieval-Augmented Generation (RAG) pipeline using KitOps, integrating tools like ChromaDB for embeddings, Llama 3 for language models, and SentenceTransformer for embedding models.
by Member 4206974
A Tcl -Tk Form Generator that can be used alone or used to provide a fast Form generation for language in which this activity can be complex
by Intel
Getting Ready for the Cambrian Explosion in Accelerator Architectures
by Intel
An Open-Source Extension to Boost PyTorch Performance
by Intel
This access control system application is part of a series of how-to Intel® Internet of Things (IoT) code sample exercises using the Intel® IoT Developer Kit, Intel® Edison board, Intel® IoT Gateway, cloud platforms, APIs, and other technologies.
by Matt Scarpino
Obtaining financial records from the Electronic Data Gathering, Analysis, and Retrieval (EDGAR) system
by Dynamsoft
In this article, we will discuss how to use open-source OCR software Tesseract to recognize the accompanying text from barcode images.
by Abdulkader Helwan
In this article, we show you how to set up an Android Studio environment that is suitable for loading and running our .tflite model.
by Marc Clifton
For C# devs, a look at Python. For Python devs, maybe something useful
by Phil Hopley
In this article, we will add AI to an existing ROS (Robot Operating System) House Bot.
by Sergey L. Gladkiy
In this article we’ll talk about the selection and acquisition of the image dataset.
by Sergey L. Gladkiy
In this article we’ll build the network we’ve designed using the Keras framework.
by Sergey L. Gladkiy
In this article, we'll begin the process of how to use a deep neural network to estimate a person's age from an image.
by Sergey L. Gladkiy
In this article we train the CNN for age estimation.
by Sergey L. Gladkiy
In this article we will explain how to use the pre-trained CNN for estimating a person’s age from an image.
by Sergio Virahonda
In this article we talk about anomaly detection on time series data.
by Sergey L. Gladkiy
In this article we’ll run our face detector on a Raspberry Pi device.
by Arnaldo P. Castaño
In this article we’ll adapt the VGG16 model.
by Sergio Virahonda
In this article we’ll combine forecasting and detection on a live stream of Bitcoin price data.
by Sergio Virahonda
In the next article, we are going to discuss forecasting on Bitcoin time series.
by Joel Ivory Johnson
This article series will show readers how to create a real-time AI hazard detector using an Android device.
by Jarek Szczegielniak
Having converted a ResNet model to the Core ML format in the previous article, in this article we’ll now use it in a simple iOS application.
by Raymond_Lo
In this post, I will show you how you can get started with OCR using the machine learning platform TensorFlow and the Intel® Distribution of OpenVINO™ Toolkit.
by Martin_Rupp
In this article, we’ll train and test our translation models on additional languages.
by Sergio Virahonda
Different approaches to create a face mask detector
by MehreenTahir
In this article, we will train a deep learning model to detect and count the number of people in a given area.
by MehreenTahir
In this article we will compare training our models from scratch with more advanced and pre-trained approaches like YOLO.
by MehreenTahir
In this we’ll see if we can implement YOLO on video feeds for queue length detection.
by MehreenTahir
This is the first in an article series where we’re going to show how to make an AI queue length detector.
by MehreenTahir
In this article, we’ll explore some other algorithms used for object detection and will learn to implement them for custom object detection.
by Dawid Borycki
In this article, we'll calculate the center of each detected bounding box, which will serve as a base for calculating distance.
by Dawid Borycki
In this article we will perform object detection on the frames from the test data sets including video sequence stored in the video file.
by Dawid Borycki
In this article, we will use those centers to estimate distances between people and indicate people that are too close.
by Dawid Borycki
In this last article of the series, we improve our Python console application for AI-powered social distancing detection.
by Dawid Borycki
In this article, we continue learning how to use AI to build a social distancing detector.
by Dawid Borycki
In this article, we will use drawing functions to depict detected objects.
by Dawid Borycki
In this article, we will learn how to add annotations to images.
by Dawid Borycki
In this article series, we'll look at how to use AI and deep learning on video frames to ensure people are maintaining adequate social distancing in crowds.
by Joel Ivory Johnson
In this next entry in the AI Hazard Detection on Android series, we will look at how we can avoid unnecessarily warning the user, and how we can quickly alert them.
by José Cintra
Some suggestions of algorithms for solving the Pascal Triangle, addressing iterative, recursive and functional paradigms
by dawright
Combine a .NET math library and a .NET dynamic programming language to create a Matlab/Mathematica-like interactive environment for math and data analysis.
by Amarnath S
A historical problem in Probability with apparent and correct solutions, along with its Python simulation
by I Love Code
An Introduction to Logistic Regression
by Emad Bin Abid
In this article we provide a good understanding of basic Python testing tools.
by Ngọc Minh Trần
An introduction to the SVM and the simplified SMO algorithm
by Arthur V. Ratz
Compute the Levenshtein distance of literal strings effectively by using the Wagner-Fischer (two matrix rows-based) algorithm.
by Allister Beharry
Using data from the Global Historical Climatology Network project we can crunch, analyze, and make predictions using gigabytes of numeric climate data collected over two centuries with the SAP HANA in-memory database and Amazon SageMaker hosted Jupyter notebooks.
by M.Mo
Using the gdb debugger's Python API to analyze and visualize C/C++ arrays in a debugging session.
by Matt Scarpino
This article explains how to analyze Python code using the open-source ast package
by Jeffrey T. Fritz
Jeff pulls together what he's learned about Python and Jupyter notebooks to do some analysis on the viewership of his Twitch channel. What factors can he alter to increase viewership?
by Joel Ivory Johnson
In this article we will consider the ways in which the network could be further optimized.
by Bahrudin Hrnjica
ANNdotNET v1.0 has been released
by Shakhansho
An overview of newly written package anonympy and a walk-through some of its methods and functionality
by Pravin baskaran
A python implementation of an ant colony optimization algorithm with offline pheromone update to solve ry48p, an asymmetric travelling sales man problem
by VISWESWARAN1998
An opensource antivirus engine which uses Yara, Locality Sensitive Hashing to detect malware
by WasiUllah Khan
Created an API for my DropBox file uploader using Flask
by Prilvesh K
Apple-tron, a quick AI for small to medium enterprise farmers, that applies stickers to fruits
by Sergio Virahonda
In this article I’ll explain the different options we can choose from to create deep fakes.
by Sergey L. Gladkiy
How to create a driver distraction detector and how to run it on an Arm-powered device like a Raspberry Pi or Jetson Nano
by Zebedee Mason
Software for automatically constructing architecture diagrams and metrics from source code and .NET assemblies is presented. Examples for Visual C++, Python, the Linux kernel, Boost and .NET are discussed.
by Clark Fieseln
Chat using "enhanced" end-to-end-encryption and modulation of audio signal in isolated device, ensuring privacy, anonymity and cybersecurity.
by Clark Fieseln
Compress, encrypt and hide a secret file inside an audio file (MP3, WAV, OGG, FLAC, ..)
by Sergio Virahonda
In this article, we develop a semi-automated deployment-to-production script, which will complete our project.
by WasiUllah Khan
Automated Pakwheels parsing with Selenium and Python
by Florian Rappl
In this article we see how to set up security, Sentinel, and runbooks.
by MehreenTahir
In this article, we learn how to train a machine learning (ML) model on an Arc-enabled Kubernetes cluster.
by MehreenTahir
In this article we learn to deploy our model and enable inference anywhere with Azure Arc-enabled ML.
by David Norton
In this article we explore how to get data into Azure Synapse Analytics and build a machine learning model.
by Jesús Utrera
First article of a series of articles introducing deep learning coding in Python and Keras framework
by Jesús Utrera
Second article of a series of articles introducing deep learning coding in Python and Keras framework
by Intel
This article will explore and compare the performance of the Intel Extension for Scikit-learn and benchmark it against the stock Scikit-learn library.
by Peter Occil
Algorithms to turn biased "coin flips" into biased "coin flips", and how to code them.
by Sujoy Basu
Here are few things to keep in mind when creating your analytics using Predix Analytics Services, starting with prepping the data itself through deploying the analytic in a production environment.
by Mahsa Hassankashi
It is almost everything about big data.
by Intel
This article provides an overview of recent enhancements available in the BigDL 0.1.0 release (as well as in the upcoming 0.1.1 release)
by Yuancai (Charlie) Ye
Application of SocketPro onto various databases for continuous inline request/result batching and real-time stream processing with bi-directional asynchronous data transferring
by Yuancai (Charlie) Ye
Continuous in-line request/result batching, real-time stream sending/processing, asynchronous data transferring and parallel computation for best performance and scalability
by Ragesh_Hajela
In this article we look at how to modify the OpenVINO™ Notebooks repo on GitHub, retrain the same model but with a different dataset.
by Andrew Lai
Power on, safe shutdown and power cut-off for Raspberry Pi
by Intel
Leverage Intel® Software Guard Extensions on Virtual Machines to Deploy Secure, Accelerated Machine Learning Pipelines
by Shun Huang
Use Python to build AVL Tree
by Shun Huang
Build a Python Metrics library to compare the AVL tree and the Red-Black Tree
by Shun Huang
Use Python to build a Binary Search Tree
by Shun Huang
Use Python to implement Binary Search Tree Traversals
by Shun Huang
Use Python to build Double-Threaded Binary Search Trees
by Shun Huang
Use Python to build Red-Black Tree
by Shun Huang
Use Python to build Threaded Binary Search Trees
by Twilio, Inc.
Using the Twilio and CleverBot APIs you will make a Flask app that texts CleverBot, which is an AI you can chat with that learns from its conversations.
by Jarek Szczegielniak
In this article we’ll create a Core ML pipeline to be our end-to-end model.
by Intel
In this article, we’ll explore how to create a DL environment with optimized Intel packages.
by Sergio Virahonda
In the next article, we talked about Google AI Platform and how to train your models there with some help from Docker containers.
by Abdulkader Helwan
In this article, we implement a CycleGAN from scratch.
by Patrick P. Frey
This tutorial based on a docker image will guide through the development of a search engine service based on Strus and its Python Bindings within the Tornado web-framework.
by Abdulkader Helwan
In this article, we implement a CycleGAN with a residual-based generator.
by Martin_Rupp
In this article we’ll build our AI language translation system.
by Jarek Szczegielniak
In this article we can proceed to train our custom hot dog detection model using Apple’s Create ML.
by Sergio Virahonda
In this article we build the model API to support the prediction service.
by Jarek Szczegielniak
In this last article in this series, we’ll extend the application to use our YOLO v2 model for object detection.
by Sergio Virahonda
In this article we'll build and train our models with them.
by Android on Intel
This article discusses design considerations for building apps for Glass and how to build hybrid glass applications using the Mirror API and GDK.
by Marcelo Ricardo de Oliveira
In this article we demonstrate how to create a serverless Azure Functions web app in Python.
by Marcelo Ricardo de Oliveira
In this article we explore how to build Channel and Group Tabs and Tabs with Adaptive Cards using Python and Azure Functions.
by Marcelo Ricardo de Oliveira
This article should demonstrate how to create a serverless Azure Functions web app in Python.
by Dawid Borycki
This article demonstrates the convenience of using native Arm Python 3.11 on Arm-powered devices to experience up to a threefold performance boost over using it in emulation mode.
by MehreenTahir
This article will help you build different types of basic recommendation systems using Python.
by AD Colab Group
This set of tutorials demonstrate how to use the Visualization ToolKit (VTK) to develop robotics user interfaces.
by AD Colab Group
In the 2nd article in this thread, we start building out the 3D environment for the robots using the Visualization ToolKit (VTK).
by AD Colab Group
The continuation of the 2nd article, we look at the 3D environment and some more involved Visualization ToolKit (VTK) topics.
by Bill_Hallahan
The following program is a code generator that generates a C program or a C++ program that has auto-generated parsing code.
by JoeSox
A C# dynamic link library that runs ConceptNet: A Semantic Network of Common Sense
by Andy Bantly
How to calculate the Nth prime number
by José Cintra
Iterative algorithms for computing approximations to the number PI through infinite series using double and arbitrary precision
by Eric Reynolds
ExcelPython is a lightweight COM library which enables you to call Python code and manipulate Python objects from Excel VBA.
by li9705
Calling Python from Java for Android using CLE and SL4A
by Arthur V. Ratz
Optimizing the performance of the large-sized matrices QR factorization and eigendecomposition, using Schwarz-Rutishauser algorithm
by Evgeny Pereguda
This article presents my project for capturing of video and audio sources on Windows OS by Microsoft Media Foundation.
by Andreask84
In this article, I propose a simple application written entirely in Python that allows you to capture images from a camera using DirectShow and to perform simple processing on them using OpenCV.
by philoxenic
In this article, you will be up and running, and will have done your first piece of reinforcement learning.
by philoxenic
In this article, we will see what’s going on behind the scenes and what options are available for changing the reinforcement learning.
by Ryan Peden
A code-first introduction to neural networks
by jonbowen234
This article will provide some background to help understand how to get started developing Python scripts for the Telit family of devices.
by Ujwal Watgule
The Cheetah Optimizer is a nature-inspired metaheuristic algorithm designed to tackle complex optimization problems across multiple dimensions.
by Allister Beharry
In this article, we select hardware components for our AI/Pi-based solution and assemble them into a functional system.
by Glenn Prince
In this fifth part of the Data Cleaning with Python and Pandas series, we take one last pass to clean up the dataset before reshaping.
by Fernando de Oliveira [MCP]
What if you could predict data using a cloud-based environment? You can do it with Azure Machine Learning.
by Rupesh Sreeraman
Programming language Detection AI
by Chris Maunder
The full walkthrough of a bare bones module for CodeProject.AI using Python
by Member 4201813
Imaginary coding interview using Fibonacci numbers as single showcase for a surprising variety of programmers' skills.
by Peter Occil
Discusses color spaces, color generation, and other general color topics commonly faced by programmers
by Glenn Prince
In this fourth part of the Data Cleaning with Python and Pandas series, we look at a few of the simpler methods for combining data
by Andreask84
A command line tool and a simple C# class with a complete set of functions to easily upload videos on Vimeo
by Philipp_Engelmann
Competing on kaggle.com for the first time
by wmjordan
MuPDF is an open-sourced, high performance PDF rendering and editing engine written in C. This article describes how to compile its source code to a DLL for use in other programming languages.
by li9705
This article talks about how to compile Python source code on WP8, the changes made on the source code, and an example using Python in a WP8 native app.
by Allister Beharry
In this we discuss improvements we can make to the software in terms of performance or accuracy. We also compare our homebrew open-source system to commercial vehicle speed detection systems.
by John D. Cook
Code for computing normal probabilities and a discussion of what does and does work in IronPython
by DiponRoy
Conditional filter query example in SQLAlchemy and Python
by Akhil Mittal
Create a config file; add, update and delete a configuration, and read a configuration in a Python app
by Intel
This paper will show you how to use an Intel® NUC to connect sensors on an Arduino 101 (branded Genuino 101 outside the U.S.) to the Google Cloud Platform
by Intel
Connecting to AT&T M2X IoT using MQTT
by Plantronics
Connecting to Spokes' REST API in Python.
by Sergio Virahonda
In this article, we’ll deep-dive into the Continuous Training code.
by Tareq_Gamal
How to Control NAOqi-Based Robots like NAO, Pepper using Kinect
by Abdulkader Helwan
In this project, our aim is to run a mobile Image-to-Image translation model on the Android platform.
by Jarek Szczegielniak
In this series, we’ll use a pretrained model to create an iOS application that will detect multiple persons and objects in a live camera feed rather than in a static picture.
by Jarek Szczegielniak
In this article we'll convert a ResNet model to the Core ML format.
by Sergio Virahonda
In this article we test a face mask detector on a regular computer.
by Glenn Prince
In this third part of the Data Cleaning with Python and Pandas series, we delve into some of the problems the dataset may contain.
by Abdulkader Helwan
In this article, we’ll discuss the COVID-19 detection results we’ve achieved with our model and compare these results with those of other models.
by Abdulkader Helwan
In this article, we’ll show you how to build a network for Covid-19 detection from scratch.
by Abdulkader Helwan
In this article, we introduce transfer learning and ResNet50.
by Joel Ivory Johnson
In the next entry of the AI Hazard Detection on Android series, we will look at crash detection and notifications.
by Andreas Schoenle
How to use CrashRptEx, to avoid some of the pitfalls of crash reporting in MFC apps or if you want the ability to continue your application after a crash
by Wayne Jin
Extend the function of Microsoft Office and Python
by Marc Clifton
Using C#, a simple web server, and Docker, I show you how to create a "Fiddle" website to run Python (or other script languages)
by sjb_strat
Create a Spam Filter Using Machine Learning
by Intel
In this article, we’ll show you how to create a very simple CNN for image classification from scratch.
by Akhil Mittal
Creating a real-time chatbot using Amazon Lex Services and deploying the bot over Facebook messenger
by Sergey L. Gladkiy
In this article we’ll explain how to create a simple database for face recognition.
by Matthew Dennis
Create a ChatGPT-like AI module for CodeProject.AI Server that handles a long-running process.
by Glenn Prince
In this article we’ll create a more traditional web application using the Flash library and Azure WebApp.
by Glenn Prince
In this article, we’ll build on what we started by adding an Azure Cosmos DB database to our Flask web app.
by Philipp_Engelmann
How to create a Turing machine in Python - Part 2
by Philipp_Engelmann
In this series, I am going to rewrite the Turing machine I wrote in Creating a Turing machine in Python.
by Jarek Szczegielniak
In this article we are ready to include detection decoding directly in the Core ML model.
by Melanie Hall
In this article we will create an app that can create a new Teams Channel and invite stakeholders to provide updates to assist with incident management.
by Shweta Lodha
This article walks you through the steps required to create a custom ML model, train it and then use the same model to analyze the sales receipt.
by Jarek Szczegielniak
In this article, we’ll start applying our basic Docker knowledge while creating and running containers in the various MLng scenarios.
by Azim Zahir
This article demonstrates creating user-interfaces using PySimpleGUI.
by RobLazarus
Review about the Creating Your Own Freaking Awesome Programming Language Book
by Intel
This paper explains the importance of using Intel® Performance Libraries to solve a machine-learning problem such as credit risk classification.
by MukeshKumarTech
This practical demonstration will help you to understand how to implement CRUD (CREATE, READ, UPDATE and DELETE) operations functionality in Python with SQL database.
by Arnaldo P. Castaño
In this article we’ll put together our CNN and train it for face recognition.
by Glenn Prince
This article gives you a good starting point for your own object detection projects.
by Authorize.Net
The Authorize.Net API makes it easy to create, capture, refund and void secure payment transactions. Offering both XML or JSON, it works well with Ruby, Node.js, Python, and many other languages. The streamlined API also has the bandwidth to accept payments in every environment.
by NimDriz
A site that helps users keep up to date with whatever content they enjoy on the web.
by Qualcomm Technologies, Inc.
The main objective of this project is to develop a Machine Learning model that detects the objects on the road like pedestrians, cars, motorbikes, bicycles, buses, etc.
by Peter Carrasco
This article describes a pub-sub model using AWS Lamdba along with SNS to keep your AWS-hosted RDMB system of record and cache in sync.
by Ghazanfar_Ali
Clustering of 2D data Using Python and simulation in PyGame
by @Abdul Azeez Thekkekandy
This article explores Data Science lifecycles - Business Understanding, Data Understanding and Data Preparation
by Intel
In this article, we discuss our teachings about data science in a series of steps so that any product manager or business manager interested in exploring this science will be able take their first step toward becoming a data scientist or at least develop a deeper understanding of this science.
by Azim Zahir
This article demonstrates Data Visualization using Matplotlib library of Python.
by Glenn Prince
In this seventh part of the Data Cleaning with Python and Pandas series, we can explore our visualization options.
by li9705
A new data-driven programming idea and method is proposed and discussed here, whose purpose is to improve programming flexibility, constructivity, and sharing
by Jarek Szczegielniak
In this article we use Visual Studio Code to edit and debug our increasingly complex code running inside a Docker container.
by Ujwal Watgule
Credit card fraud detection is an important application of machine learning techniques.
by Jarek Szczegielniak
In this article, we will decode the Core ML YOLO Model by transforming an array of abstract numbers to a human-readable form.
by Jarek Szczegielniak
In the next article, we’ll do the same but with array operations. This will allow us to include the decoding logic directly in the model.
by Mahsa Hassankashi
Deep learning convolutional neural network by tensorflow python, complete and easy understanding
by Arnaldo P. Castaño
In this article we will examine the CNN we implemented for coin recognition using Keras.NET.
by Arnaldo P. Castaño
In this article we focus on the Text-to-Speech with the use of Deep Learning.
by Jesús Utrera
Third article of a series of articles introducing deep learning coding in Python and Keras framework
by Sergio Virahonda
In this article we’ll explore DeepFaceLab as an alternative to our last approach.
by Zebedee Mason
Perform dependency analysis by using Doxygen to parse source code and produce a report
by Dariusz Trawinski
In this article, you will learn how to use key features of the OpenVINO™ Operator for Kubernetes.
by Arthur V. Ratz
In this brief article, we will demonstrate how to deploy a Node.js application and run it on Docker's Windows Server Core 2016 Containers
by Jarek Szczegielniak
In this article, we publish our NLP API service to Azure using Azure Container Instances.
by Intel
To make it easier to deploy BigDL, we created a “Deploy to Azure” button on top of the Linux (Ubuntu) edition of the Data Science Virtual Machine (DSVM)
by Jarek Szczegielniak
How to publish XGBoost and PyTorch models using Azure App Service, Flask, FastAPI, and machine learning online endpoints
by Jarek Szczegielniak
How to deploy and scale PyTorch models
by Jarek Szczegielniak
How to publish a TensorFlow model
by Ben Hall (failingfast.io)
In this article, we’ll create Azure Functions in Java or Python, show that deploying them to our Arc-hosted Kubernetes cluster is just as easy as deploying functions directly to Azure, and demonstrate that our Azure Functions are, in fact, running in the cloud, but not on Azure itself.
by Sergio Virahonda
In this article we’ll deploy our YOLOv5 face mask detector on Raspberry Pi.
by Noman BD
Power of Naive Bayes Classification
by Sergey L. Gladkiy
In the next article, we’ll use a pre-trained DNN to detect pests on video.
by Sergey L. Gladkiy
In this article, we’ll show you how to develop a simple motion detector and combine it with the trained DNN model to detect moose on video.
by Sergey L. Gladkiy
In this we’ll talk about some ideas for detecting "exotic" pests, such as moose and armadillos.
by Android on Intel
Linderdaum Engine is an open source, purely object-oriented 3D gaming engine for Microsoft Windows, Google Android, and BlackBerry OS 10 written in C++.
by Intel
The Retail Workshop: Hands on Learning with Intel®-based Retail Solutions
by Manikandan10
The article describles the differences between compiled and interpreted languages
by Mayank Pal Singh
Know you digital presence / cyber presence / internet presence using DFMAP
by daubrecq
How to detect queue completion from other threads properly when using Python queues.
by Abhishek Nandy
Unravelling Tensorflow as Never done before...breaking simple things
by pi19404
In this article we will look at the basics of Discrete Fourier Transform and how it can be used as tool for frequency analysis of a signal
by Intel
In this post we show how to set up a production-ready machine learning workflow with Intel® Nervana™ technology, neon, and Pachyderm.
by Patrick P. Frey
Article about implications of scalability requirements on full-text search engines and how Strus meets these requirements.
by Scott Pletcher
In this two-part series, you’ll learn how to turn a Raspberry Pi into a flexible and powerful Internet-of-Things device with AWS Greengrass v2, ultimately creating an off-grid remote-tasked data and image collection device.
by Scott Pletcher
In this two-part series, you’ll learn how to turn a Raspberry Pi into a flexible and powerful Internet-of-Things device with AWS Greengrass v2, ultimately creating an off-grid remote-tasked data and image collection device.
by Software Developer's Journal
Learn about Django and Tornado
by Azim Zahir
Creating a Django app using Pydroid Android app
by Arthur V. Ratz
Create a Python web-app using Flask and PostgreSQL server, and run it in Docker
by Jarek Szczegielniak
In this article we run an inference model for NLP using models persisted on a Docker volume.
by Nicholas_Larsen
In this article we'll demonstrate using Google AI Cloud to create a model for categorizing different dog sounds, then run the model on an Arm-based Raspberry Pi to listen for dog sounds and identify them.
by Marc Clifton
An Alice in Wonderland journey of generics, inverting object oriented programming, and generic type dispatching
by Philipp_Engelmann
Due to busy lives in the 21st century, finding time to learn about new topics and keeping up to date with technological trends becomes more and more difficult.
by Stephanie_Maluso
In this article we look at how to use the Neural Network Compression Framework of the OpenVINOTM toolkit for 8-bit quantization in PyTorch
by Dave Kerr
Everything you don't need to know about job control
by Sergey L. Gladkiy
In this article, we’ll test our detection algorithm on a Raspberry Pi 3 device and create the "scare pests away" part of our pest eliminator by playing a loud sound.
by Sharjith
Demo to show use of Python Interpreter to evaluate methematical expressions
by Ryan Peden
We’re going to look at how to use an embedded database – Actian Zen – to store and process data on a Raspberry Pi.
by James Wucher
Examples of embedding the Iron Python engine in a C# form application.
by Nick Polyak
How to display Python plots within a C# program
by arnavguddu
How to Embed Python interpreter in your C/C++ code and dynamically change the code path of compiled native code.
by Intel
This article describes different methods to detect outliers in the data and how the Intel® Data Analytics Acceleration Library (Intel® DAAL) helps optimize outlier detection when running it on systems equipped with Intel® Xeon® processors.
by InvisibleMedia
This article describes how to divide two polynomials and shows the source code to calculate this division. There is also code to add, subtract and multiply two polynomials.
by Jarek Szczegielniak
In this article, we’ll modify our code to expose the same logic via a Rest API service.
by Sergey L. Gladkiy
In this article, we’ll see how the same result can be achieved by data augmentation.
by Arnaldo P. Castaño
In this article, we go over the steps to detect faces in an image.
by Robert van Engelen
Classic globbing and modern gitignore-style globbing algorithms can be fast, whereas recursive implementations are known to blow up exponentially; why some freely available source code should not be used.
by Jayson DeLancey
This article is the second in the Sentiment Analysis series that uses Python and the open-source Natural Language Toolkit. In this article, we'll look at datasets provided by NLTK, as well as an example of capturing your own textual corpus for analysis.
by John D. Cook
How to determine the parameters of a probability distribution given two percentile constraints
by Glenn Prince
In this article, we create an object detection model.
by Abdulkader Helwan
In this article, we’ll fine-tune our ResNet50 model.
by Intel
Optimizing Large Language Models on Intel® Xeon® Processors with Intel® Advanced Matrix Extensions (Intel® AMX)
by Abdulkader Helwan
In this article we show you how to train VGG19 to recognize what people are wearing.
by Glenn Prince
This article will serve as a hands-on introduction to Cloud Native development for Python developers. Unlike most other introductions, we're going to show how to do things in a realistic way using modern tools.
by MukeshKumarTech
This article will demonstrate how to create the first Django Python application in Visual Studio.
by MukeshKumarTech
This article will demonstrate how you can create your first Python application in Visual Studio 2017 and after creating your first Python project, we will see some of the small Python examples so that you can get a better picture of how to start writing your program and how to run it.
by NewPast
Floating point numbers as approximates and understanding error happened when using single and double data types
by UmairNaseerAhmed
Basics of scripting using RenderMan scene description (rib) protocol
by Jin Choi, PhD
A layman's description of how Kalman Filters work, and sample code that shows how to use it to forecast stock market volatilities
by Clark Fieseln
Simulate hardware containing an FPGA programmed in VHDL interactively
by Wayne Myer
How tax automation can help your company cut costs and reduce risk by managing sales tax more effectively
by Rami Alshaar
Full guide to create a website
by Michael Chourdakis
A quick python course for C++ developers
by Adrian Pirvu
A Roadmap to Intelligence
by Wesley Du, Junwei Deng, Kai_Huang, Shan_Yu, Shane Huang
In this blog, we will introduce some of the core components in BigDL and showcase how BigDL takes advantage of Ray and its native libraries to build out the underlying infrastructure (such as RayOnSpark, AutoML, etc.
by Modesty Zhang
Develop and operate full stack web Apps and APIs on Google App Engine with productivity and efficiency, including front end app & UI, restful web services and persistence layer with NoSQL database on Google App Engine.
by Stanley Wu
How to use a low-code solution like Microsoft Power Apps to create a self-sustaining app
by Stanley Wu
How to create a serverless app in Azure that reacts to data changes in Dataverse
by Stanley Wu
How to insert data into Dataverse using the Dataverse API
by Lontia Nkhuwa
In this article we learn how to create a Python app using FastAPI deployed to the Azure App Service.
by Lontia Nkhuwa
In this article we create a custom connector, call the API, and create a reservation button.
by Intel
Getting Good Data to Make Code Tuning Decisions
by Abdulkader Helwan
In this article we show you how to build a Generative Adversarial Network (GAN) for fashion design generation.
by DiponRoy
Example of Generic Repository Class with SQLAlchemy and Python
by Priyanka Tuteja
In this example, we'll explore building permit data in Montgomery County, Maryland using freely available resources from Esri – the world’s leading location intelligence platform.
by Jeffrey T. Fritz
Jeff shows you how to configure and start using Intel's Python distribution with Visual Studio Code. He also shows you some of the speed improvements included in the distribution.
by Intel
This section describes implementation of FaaS inference samples (based on Python 2.7) using Amazon Web Services (AWS) Greengrass and AWS Lambda software.
by DaveNoderer
In this article we learn how to set up Apache Spark.
by Greg Serochi
In this article we take you through the process of migrating your existing deep learning models over to Gaudi and show the basic steps to get your model ready to run.
by Sergey L. Gladkiy
In this article we discuss the principles of face detection and facial recognition.
by matthias-hahn
The Intel Development Kit for IoT (IoTDK) is a complete solution to create and test applications for Intel IoT platforms like the Intel® Galileo and Edison maker boards.
by Intel
This article was written for Python. To get started using JavaScript, see Getting Started with Intel® IoT Gateways - Python
by Intel
Theano is a Python library developed at the LISA lab to define, optimize, and evaluate mathematical expressions, including the ones with multi-dimensional arrays (numpy.ndarray)
by Robert_Walters
In this article, you will learn how to do the following: Create a free hosted MongoDB database using MongoDB Atlas, Install PyMongo, the Python Driver, Connect to MongoDB, Explore MongoDB Collections and Documents, Perform basic Create, Retrieve, Update and Delete (CRUD) operations using PyMongo
by Hussain Patel
In this article, we will see how to use Breadboard- it's a great way to connect circuits and your Pi together.
by John D. Cook
How to get started using the SciPy library for scientific computing in Python.
by Thomas Daniels
An algorithm to classify whether text is gibberish or not, and an implementation in C# and Python.
by Google Cloud Platform
By the end of the tutorial, you will have implemented a working application, a simple guest book that lets users post messages to a public message board.
by Google Cloud Platform
Before you can make requests to the Google Cloud Pub/Sub API, your application must set up authorization, using the OAuth 2.0 protocol. If you are using the Google Cloud Pub/Sub client library, you must also create an instance of the Pubsub class.
by Intel
XGBoost algorithm and its comparison to Intel’s xgboost wrapper in Python
by CongHaoXiong922342
This article mainly talks about the comprehension of gradient descent and how to implement it in Python.
by Nick Polyak
This article provides simple examples of creating both client and server code for Google RPCs
by Michael Haephrati
Now you can store your own voice recordings kept by Amazon but not made available to customers
by Cloudster
Use Django logins to accept user "likes" and content submission
by rjdudley
1&1 has become one of the most successful and popular hosting companies in the world by offering simple, inexpensive ($0.99/month for three months, then $8.99/month thereafter) and feature-rich hosting plans.
by FiegeU
Add hot word recognition to your smarthome the ESP8266 way using MicroPython
by Jesse Casman
Using open source tools like Python, Jupyter Notebooks and QISKit allows developers to explore IBM cloud-enabled quantum processors
by Evgenii Zaiats
An approach for integration test frameworks on validating changes within the framework without executing all test suites after each change.
by Adrian Boguszewski
A step-by-step walkthrough on OpenVINO compilation from source
by Glenn Viroux
An in-depth tutorial on how to connect a FastAPI application with a PostgreSQL database and deploy the whole application to GCP
by Adrian Boguszewski
A very simple guide for every PyTorch Developer wanting to improve the inference performance
by Adrian Boguszewski
A very simple guide for every TensorFlow Developer wanting to start the OpenVINO journey
by Packt Publishing
Excerpt from the book Mastering Machine Learning for Penetration Testing by Chiheb Chebbi
by Packt Publishing
In this section, we'll take our first steps in using the low-level TensorFlow API.
by Max Kleiner
We use a Command Line Interface with OpenWeatherMap (PyOWM) to make it easier to use the OpenWeatherMap API in Python.
by Matthew Dennis
In this article, I will discuss what I experienced while creating a custom model for the detection of backyard pests. You can download the resulting critters.pt file.
by NVIDIA
The article discusses the challenges in training accurate object detection models for industrial visual inspection and proposes the use of synthetic data to address dataset limitations.
by Martin_Rupp
In this article, we’ll train and test the model we created in the previous entry in the series.
by Member 13737597
This article shows how to bring the power of real C compiler for reverse engineering purposes.
by dk_the_developer
Step by step guide to consuming the Rest API endpoints using Python programming
by Paula_Ramos
In this article, you will learn how to work with live human action recognition using the OpenVINO™ AI toolkit in a synchronized schedule.
by YevheniyK
The article describes a general approach to using Cocos2d-x on top of native components and relevant coding specifics for Cocos2d-x, iOS and Android.
by Sergey L. Gladkiy
In this article, we’ll run a pretrained DNN model to detect faces in video.
by Intel
In this tutorial, we will setup a basic machine learning prediction model to run as an Amazon Web Services (AWS) Lambda function in an AWS Greengrass group.
by Intel
This paper will convert a Python based motor defect detector solution to a deployable Azure module.
by Markus Koppensteiner
Python code for image-blending based on an image mask
by Nikola M. Živković
Implementation of Convolutional Neural Network using Python and Keras
by Ragesh_Hajela
New features in the Intel® OpenVINO™ toolkit enable you to easily optimize for throughput or latency, and help you to “write once, deploy anywhere.
by Jayson DeLancey
This article is the sixth in the Sentiment Analysis series that uses Python and the open-source Natural Language Toolkit. In this article let’s look at what a process of annotating our own dataset would entail.
by Xiao Ling
In this article, we show you how to get intermediate results of Dynamsoft Barcode Reader SDK using Python and C code.
by Intel
MXNet is an open-source deep learning framework that allows you to define, train, and deploy deep neural networks on a wide array of devices, from cloud infrastructure to mobile devices.
by Intel
This page provides general installation and support notes about the Community forum supported Intel® Performance Libraries and Intel® Distribution for Python as they are distributed via the YUM repositories described below.
by Glenn Prince
In this article, we'll set up everything we need to build a hardhat detector with OpenCV.
by Intel
Installing the Intel® Distribution for Python and Intel® Performance Libraries with pip and PyPI
by Intel
This article includes instructions to install the package as an add-on service for your IBM Cloud Pak for Data cluster using Kubernetes.
by Arthur V. Ratz
How to properly install and configure SAP-HANA and TensorFlow Model Server to predict the S&P 500 Index
by Arthur V. Ratz
How to create and export TensorFlow S&P 500 Index prediction model and serve it using TensorFlow Model Server
by Arthur V. Ratz
How to predict S&P 500 Index on the SAP-HANA SQL-engine backend using EML library
by OlegKrivtsov
This article shows how to use CrashRpt error reporting library with an MFC application
by Intel
These instructions guide you through the steps to publish data from an Intel® IoT Gateway to an MQTT broker (server) using a Python Script.
by Matt Scarpino
This article explains how the Python API makes it possible to embed Python in C++ and write extension modules in C++ that can be imported in Python.
by ron85262
In this article, I'll make an overview of IoT and introduce a way to approach IoT using Wemos D1.
by Naren Neelamegam
A complete walk through on IoT Device programming, Web Service programming and IoT Client programming.
by Geoff Samuel
A brief tutorial on PyQt within Maya 2012.
by Glenn Prince
This article is the first in the Data Cleaning with Python and Pandas series that helps working developers get up to speed on data science tools and techniques.
by Jayson DeLancey
This article is the first in the Sentiment Analysis series that uses Python and the open-source Natural Language Toolkit. This article is a primer on some key NLP concepts and getting started with the Natural Language Toolkit (NLTK) Python library.
by Stephanie_Maluso
This article provides a better understanding of the benefits of OpenVINO integration with Tensorflow: how it works, deployments environments, and how OpenVINO integration with TensorFlow differs from using native OpenVINO API
by Sergey L. Gladkiy
In this article, we focus on developing and testing a face identification algorithm along with the face detection module.
by Clinton Sheppard
A hands-on, step-by-step introduction to machine learning with genetic algorithms using Python.
by Thomas Daniels
In this article, let’s dive into Keras, a high-level library for neural networks.
by Thomas Daniels
In this article we take a look at what you can do with the Natural Language Toolkit (NLTK).
by Thomas Daniels
In this article we take a quick look at NumPy and TensorFlow also do a short overview of the scikit-learn library.
by philoxenic
In this article, we start to look at the OpenAI Gym environment and the Atari game Breakout.
by Thomas Daniels
In this article let's get started hands-on with OpenCV.
by Intel
This paper shows how the python API of the Intel® Data Analytics Acceleration Library (Intel® DAAL) tool works. First, we explain how to manipulate data using the pyDAAL programming interface and then show how to integrate it with python data manipulation/math APIs.
by Guruprasad.K.Basavaraju
Introduction to Raspberry pi with Raspbian OS. Also a small example of building a simple circuit and programming the same
by Thomas Weller
Demonstrates how to invoke TensorFlow neural networks from a C# application and also how to use a Python-generated chart to display the results.
by Jarek Szczegielniak
In the next article, we’ll start working on the iOS application that will use that model.
by Todd Christell, Canin Christell
Creating a Microwave Oven IoT Application
by Clark Fieseln
Protect your privacy against malicious network activity and policy violations
by Hamed J.I
Analyze website content for Search Engine Optimization and technical problems (using Iron Python)
by JoeSox
A CLI control for IronPython 2.0B2+.
by Sergio Virahonda
In this article we’ll see how to define jobs, deployments, and services so that our containers can accomplish their objectives.
by Intel
The JuliaProject Continues to Break New Boundaries in Scientific Computing
by Cloud Native Apps Team
In this first article of our hands-on series, we’ll delve into creating an Intelligent App that leverages Azure AI Vision to analyze images and extract data.
by Cloud Native Apps Team
In the last article, we created an Intelligent App that leverages Azure AI Vision to analyze images and extract data. We developed an API to perform optical character recognition (OCR) on uploaded images and tested this API locally.
by Jeffrey T. Fritz
Jeff checks out Jupyter Notebooks with Python and Docker, and starts using the Intel distribution to get improved performance from the Python interpreter.
by Andreask84
A description of jupyter.net client: a C# library for interacting with Jupyter kernels
by Gurbinder Gill
This article will cover what's in the library, how to get access to the library, usage examples, and benchmark data to highlight performance.
by Twilio, Inc.
In this tutorial, I'll walk you through the steps of building out the beginnings of a notification system for GitHub pull requests.
by Daniele Fontani
A tool for managing CNN training built on django helps to understand image classification
by Intel
This guide will help you to write complex neural networks such as Siamese networks in Keras. It also explains the procedure to write your own custom layers in Keras.
by Azim Zahir
KMeans and MeanShift Clustering using sklearn and scipy
by Sergio Virahonda
In this article in the series, we label a face mask dataset.
by philoxenic
In this article we will learn from the contents of the game’s RAM instead of the pixels.
by philoxenic
In this article, we will see how we can improve by approaching the RAM in a slightly different way.
by philoxenic
In this article, we will see how you can use a different learning algorithm (plus more cores and a GPU) to train much faster on the mountain car environment.
by philoxenic
In this final article in this series, we will look at slightly more advanced topics: minimizing the "jitter" of our Breakout-playing agent, as well as performing grid searches for hyperparameters.
by Rami Alshaar
Enhance your coding skills with a walkthrough on how to create a smart calculator with many features made in Python.
by g96b10
Set up an Azure IoT Hub and connect to it via Raspberry Pi 3
by g96b10
Create a console application that listens to the data your Raspberry Pi 3 uploads to Azure IoT Hub
by g96b10
Create an application to download and store data uploaded to your Azure IoT Hub
by The Zakies
Build a retrieval based chatbot using TF-IDF
by Azim Zahir
Demonstration of Linear Regression using Tkinter GUI
by Intel
This paper focuses on the implementation of the Indian Liver Patient Dataset classification using the Intel® Distribution for Python* on the Intel® Xeon® Scalable processor.
by Joel Ivory Johnson
In this article of the AI Hazard Detection on Android series, we will add the TensorFlow Lite model to the project and prepare it for processing.
by Glenn Prince
In this second part of the Data Cleaning with Python and Pandas series, now that we have a Jupyter Notebook set up and some basic libraries initialized, we need to load some data. To do this, we’ll load data from a CSV file, as well as from a local SQLite database.
by pi19404
In this article we will look at logistic classifier and how regularization affects the performance of the classifier.
by Mahsa Hassankashi
Best practice for opinion and Text Mining based on Naïve Bayesian Classifier.
by Intel
Join Intel Technical Consulting Engineer David Liu, for an overview of Intel’s Python distribution and daal4py package
by Shun Huang
Basics of ML and Perception learning algorithm
by ron85262
My article is written mainly for the beginners that are new to Machine Learning or who are unfamiliar with technology to make a small project with Tensorflow on Android.
by Andrew Doss
Schedule Python and SQL scripts to keep your dataset clean and up-to-date in a Postgres database
by Lenny Cheng
We use Chrome DevTools, and the urllib and BeautifulSoup libraries to programmatically GET contents from www.codeproject.com.
by Keith Pijanowski
In this article I provide a brief overview of Keras for those looking for a deep learning framework for building and training neural networks
by Keith Pijanowski
In this article I provide a brief overview of PyTorch for those looking for a deep learning framework for building and training neural networks.
by Keith Pijanowski
In this article, I provided a brief overview of TensorFlow 1.0 and TensorFlow 2.0 for those looking for a deep learning framework for building and training neural networks.
by Glenn Viroux
How to use multi indexing in pandas, with practical use cases such as monitoring changes in the earth surface temperature.
by Lee Stott
The Microsoft Data Science Virtual Machine jump starts your analytics project. It enables you to work on tasks in a variety of languages including R, Python, SQL, and C#.
by Melanie Hall
In this article we create a Python web app with Flask, which made a simple Graph API call.
by Michael Haephrati
How to migrate an Assembla space to Github, including Tickets, contributors, files and source code
by Sergio Virahonda
In this article, we develop a model unit testing container.
by Bhairav Thakkar
Basic modal analysis for dynamic response of structures in Python
by Intel
For modbus on Intel(R) Edison you can easily use WiFi, or serial (RS232) as they are directly available on the platform.
by Sergio Virahonda
In this article, we’ll implement automatic training.
by Marcelo Ricardo de Oliveira
How to containerize legacy Python app, create an AKS cluster, and deploy it using VS Code
by Marcelo Ricardo de Oliveira
How to create a Cosmos DB database, then adapt our app to work with it using the Djongo Mapper and Cosmos DB’s MongoDB API
by Marcelo Ricardo de Oliveira
How to start making an app more cloud-native and a demonstration of how to move the legacy app’s functionality into an Azure Serverless Function app
by Marcelo Ricardo de Oliveira
This first article in the series introduces the goal of this series: demonstrating how to modernize legacy Python apps and their data on Azure.
by Marcelo Ricardo de Oliveira
In this article we demonstrate how to move a copy of our Python app and data to the Azure cloud infrastructure with minimal redesign and modification.
by Intel
Let’s take a look at benchmarking the Louvain algorithm.
by Allister Beharry
In this article, we focus on developing a computer vision framework that can run the various Machine Learning and neural network models – like SSD MobileNet – on live and recorded vehicle traffic videos.
by pi19404
Supervised ML algorithm for multi-class classification
by lampiclobe
A multi dimensional array class with the advance of negative indexes. Used like a[-2, -5, 3] with any dimensions.
by pi19404
About single-hidden layer MLP
by Jarek Szczegielniak
In this article we run inference on sample images with TensorFlow using a containerized Object Detection API environment.
by Intel
Intel® Software Innovator Joshua Montgomery, Karl Fezer, and Steve Penrod of the Mycroft team let me pick their brains to learn a bit more about Mycroft.
by Vince Chan
A walkthrough of common machine learning tasks - by building a Naive Bayes Spam Classifier using python and scikit-learn
by Ragesh_Hajela
NER systems can pull entities from an unstructured collection of natural language documents called as knowledge base. In this article we will show entity recognition from simple text using OpenVINO™ toolkit and you will see how to create the following pipeline to perform entity extraction.
by Andy Galluzzi
NAT traversal for Software Developers
by Arthur V. Ratz
In this article we’ll formulate and thoroughly discuss about probabilistic Bayesian classification algorithm and its implementation in Node.JS and JavaScript that can be actively used to detect and locate messages containing potential spam and other unsolicited data.
by Jayson DeLancey
This article is the fifth in the Sentiment Analysis series that uses Python and the open-source Natural Language Toolkit. In this article we're building an optimized machine learning model.
by Mahsa Hassankashi
This article illustrates how to use Node.js by WCF which is written in C# and using node.js as real time communication technology with the aid of C# code to connect MS SQL Server.
by Dr. Song Li
Study note on Node.js
by Mahsa Hassankashi
This article is a practice for nodejs on Microsoft .net platform with javascript language
by pravin kumar sinha
Python GUI non-blocking with timer events, 'select' API, Blender example
by Ngọc Minh Trần
Diary of learning Machine Learning and TensorFlow
by Bruno Terkaly
Raygun is a notification mechanism for run-time errors that is easy to plug into different languages and environments
by Sai Nanduri
In this post, I’ll be abstracting away the container components entirely, and walking you through a demonstration of our native data pipelines for a real-world AI implementation.
by Heiko Koehler
In this article I’ll discuss another option supported by Xi IoT: containerized applications that enable you to configure and deploy custom services and runtime environments for your edge computing solution.
by Chris Maunder
The first in a two-part series on detecting objects and evil rodents
by Chris Maunder
The second in a two-part series on detecting objects and evil rodents
by Paul Aurelian Gagniuc
This article shows how to mix two signals into a third, in variable proportions.
by Melanie Hall
The Python web app this article creates will be broadly useful to enterprise developers, who can use it as a starting point and swap out the Markdown conversion code for code that converts to whatever output format the business requires.
by Gergo Bogdan
Object Oriented Programming in Python
by Gergo Bogdan
Object Oriented Programming in Python - part 2 (Inheritance)
by Samuel Teixeira
Why simple if we can be complex?
by Intel
This article describes a common type of regression analysis called linear regression and how the Intel® Data Analytics Acceleration Library (Intel® DAAL) helps optimize this algorithm when running it on systems equipped with Intel® Xeon® processors.
by Stephan Ofosuhene
This post discusses strategies for improving the performance of Python applications by making them run faster and use fewer resources.
by Allister Beharry
In this article, we explore the different ways of measuring vehicle speed and the different Deep Learning models for object detection that can be used in our TrafficCV program.
by Geoff Samuel
Create a PyQt Widget that can be drawn on
by charles922
Games/Fun with Programming
by Intel
Dispelling the Myths with Tools to Achieve Parallelism
by Intel
In this article, we’ll explore how to achieve parallelism through Numba.
by Intel
In this article, we’ll explore how to refactor Python code to take advantage of NumExpr’s capabilities.
by Matt Scarpino
Extracting data from online financial reports with Python
by Peter Occil
Python code for partially-sampled random numbers for accurate arbitrary-precision sampling
by allan175_uk
Creating customized Pebble projects
by Vaclav Naydenov
Comparing the performance of two similar CRUD server apps, one written in Python and SQLAlchemy, the other in C++ and YB.ORM.
by Matt Scarpino
This article explains how to access Git repositories in Python using the GitPython library.
by Chris Maunder
Learn how to process a video file offline using CodeProject.AI Server
by Adrian Boguszewski
In this article, I will show you how to easily run inference on speech-to-text recognition models using OpenVINO™ so you can start applying this capability in your own applications.
by UmarSiddiqui
The Intelligent Way to Develop Business in the World of Healthcare
by Packt Publishing
This article is an excerpt from the book PyTorch Deep Learning Hands-On by Sherin Thomas and Sudhanshu Passi. It has numerous examples and dynamic AI applications and demonstrates the simplicity and efficiency of the PyTorch approach to machine intelligence and deep learning.
by Intel
This Plant Lighting System application is part of a series of how-to Intel® Internet of Things (IoT) code sample exercises using the Intel® IoT Developer Kit, Intel® Edison board, Intel® IoT Gateway, cloud platforms, APIs, and other technologies.
by John Jiyang Hou
An algorithm to determine if a point is inside a 3D convex polygon for a given polygon vertices in Python
by Keith Pijanowski
This article is the first in a series of seven articles in which we will explore the value of ONNX with respect to three popular frameworks and three popular programming languages.
by Dawid Borycki
In this article, you will build a Qt-based Python application with two C/C++-based DLL dependencies. This architecture mimics a typical scenario of using Python and Qt for rapid UI prototyping and DLLs for computation-intense work.
by Cloud Native Apps Team
In topic 2 of our series, we explore the power of multi-model databases for Intelligent Apps and their integration with Azure Cosmos DB and Azure Kubernetes Service (AKS).
by Intel
Transfer Learning on a CPU Is an Efficient Way to Build Accurate Image Classifiers
by Don Kackman
Using previous case and fatality numbers, predict future death rates based on current case counts
by Intel
This project describes how to recognize certain types of human physical activities using acceleration data generated from the ADXL345 accelerometer connected to the Intel® Edison board.
by Arnaldo P. Castaño
In this article, we’ll talk about preparing a dataset for feeding the correct data to a CNN.
by Abdulkader Helwan
In this article, we’ll discuss materials and methods for this project.
by Abdulkader Helwan
In this article we’ll show you how to use transfer learning to fine-tune the VGG19 model to classify fashion clothing categories.
by Jarek Szczegielniak
In this article we’ll start data preparation for this new, custom model, to be later trained using the Create ML framework.
by Sergey L. Gladkiy
In this article we’ll create the training dataset for our pest of choice: The moose.
by Allister Beharry
In this article, we’ll go through installation of the operating system on the Pi, securing it, and configuring it for remote access over WiFi.
by Sergio Virahonda
In this article we prepare a face mask images for our AI model training.
by Glenn Prince
In this article, we train our own custom model to detect if people are wearing hardhats.
by Sergio Virahonda
In this article I’ll show you how to train your deep fake models in the cloud with some help from Docker.
by Sergio Virahonda
In this article, I’ll go through what’s required to preprocess videos and prepare them to be fed into our models.
by Sergio Virahonda
In this article, we learn how to prepare time series data to be fed to machine learning (ML) and deep learning (DL) models.
by Shay Margalit
Review primality test algorithms and test their preformance in order to find out which is the fastest.
by Embarcadero
As the developer productivity drain crisis is worsening, we will inevitably witness even more manifestations of this problem in the near future. Adopting a smarter approach to building, testing, and maintaining software products without further delay is the way to avoid falling into this trap.
by Intel
Here we explore using Intel® VTune™ Amplifier to gain more understanding about how an application is performing.
by unitpoint
The ObjectScript is a new embedded programing language that mixes benefits of JavaScript, Lua, Ruby, Python and PHP. The ObjectScript has syntax from JavaScript, multiple results from Lua, sugar syntax from Ruby, magic methods from Python and much more.
by Jayson DeLancey
This article is the fourth in the Sentiment Analysis series that uses Python and the open-source Natural Language Toolkit. In this and additional articles, we’re going to try and improve upon our approach to analyzing the sentiment of our communities.
by Sergio Virahonda
In this article, we complete the pipeline for our Deep Fakes DIY solution.
by schollii
Investigation on effect of using pyqtSlot in PyQt5
by Thomas Daniels
In this article we can take a look at what libraries are available to work on AI and ML tasks.
by Thomas Daniels
This article provides some tips for experienced programmers to get up to speed with the basics of Python.
by Intel
Explore performance analysis options provided by the Intel® VTune Amplifier for Python applications to identify the most time-consuming code sections and critical call paths.
by Packt Publishing
This is an excerpt from Learning Concurrency in Python, by Elliot Forbes. Published by Packt Publishing.
by Himanshu Thawait
Python from the .NET developer point of view
by Steve Hageman
A Python Library to help make properly scaled Fourier Transforms including utility functions
by Thomas Daniels
In this article we go a bit further with generators and classes.
by Jarek Szczegielniak
How to use Visual Studio Code with Machine Learning extensions to train an XGBoost model on Azure
by Jarek Szczegielniak
How to use GitHub Codespaces and GitHub Actions to automatically train a PyTorch model after each push of changes to a repository
by Jarek Szczegielniak
How to train within an Azure Machine Learning workspace using a TensorFlow model
by Google Cloud Platform
This document discusses how to use the Python Client Library as an example of using any of the Google Client Libraries to write against the Deployment Manager API.
by Jeffrey T. Fritz
Jeff looks at the performance of random number generation using the Intel Python distribution
by Sergey Alexandrovich Kryukov
Reliable solution does the trick: it does not depend on any naming conventions, works for both Python 2 and 3 and offers clear and concise usage syntax
by DaveAuld
This is a probability based simulation that demonstrates 'Swapping' is considered the best option! We also look at the effect of multi-threading and multi-process in Python.
by Thomas Daniels
Now that you know some of the basics of Python we can go a bit deeper, with the lists and tuples data structures and see how to work with them.
by Kristofer Kallsbo
Getting user info after oAuth.
by Trustamind
Python code is embedded in XML and evaluated on the fly to generate data values.
by Zehaie M. Hailu
Python lends itself to the development of multi-threaded GUI and network applications.
by Daniel Pistelli
The first part of this article shows the dynamic internals of the Qt framework, which enable the signals and slots mechanism. The second part focuses on how to retrieve the metadata information generated by the Qt moc from binary files with an IDAPython script, and how to use it in the disasm.
by Vaclav Naydenov
How C++ library YB.ORM can help manipulate the data stored in RDBMS using domain classes. Basic concepts of ORM are explained by examples.
by Mahsa Hassankashi
This article provides python code for random forest, one of the popular machine learning algorithms in an easy and simple way.
by Peter Occil
Has many ways applications can sample using an underlying (pseudo-)random number generator and includes pseudocode for many of them.
by DaveAuld
Real World Interfacing to the Raspberry-Pi using a Gertboard.
by DaveAuld
A quick book review of what could be one of the "Best Haynes Manual Ever"
by Shweta Lodha
Ways to extract information from sales receipt and detailed demonstration of how to use pre-built ML models
by Member 13855425
How to implement asynchronous echo TCP Server & Client using Tornado framework
by Eric Reynolds
Quickly churn out repetitive C++, C#, or Java code from any data that Python can read.
by Sergey L. Gladkiy
In this article we’ll develop Python code for person detection in a video stream.
by Sergey L. Gladkiy
In this article, we’ll modify the code for real-time processing on an edge device.
by Sergey L. Gladkiy
In this article, we’ll showcase the Python code for launching these models and detect humans in images.
by Sergey L. Gladkiy
In this article, we’ll see how you can install Python-OpenCV on the device and run the code.
by Sergey L. Gladkiy
In this article, we’ll discuss the pros and cons of the existing DNN approaches and select a pre-trained model for further experimentation.
by Sergey L. Gladkiy
In this article, we’ll test the accuracy and the performance of the MibileNet and SqueezeNet models on the Raspberry Pi device.
by Sergey L. Gladkiy
In this article, we compared two DNN types we can use to detect pests: detectors and classifiers.
by Xiao Ling
In this post, we discuss how to leverage Dynamsoft Barcode Reader video decoding APIs to implement the barcode scanning functionality in camera preview scenario. Also, we demonstrate how to implement for desktop and mobile platforms respectively with the code snippet.
by Dawid Borycki
This article discusses ways to analyze real-time data without affecting application performance.
by Dawid Borycki
In this article, we prepare our Azure Cosmos DB account, added sample retail sales data, created an Azure Synapse workspace, and linked Azure Synapse Studio.
by pravin kumar sinha
Pack rectangular area with set of subrectangles to maximize covered area and minimize unpacked area
by Rune Rafn
Using Python recursion and backtracking for resolving Sudoku
by Iqra Ali
This article will cover some very less common and highly used Robot Framework and Ipy command to follow within your Jenkins job.
by Andrew Lai
A small project to give my son a great surprise
by Member 12597176
a extensible IOT Router made by SeeedStudio
by Glenn Prince
In this sixth part of the Data Cleaning with Python and Pandas series, we look at a few of the simpler methods for combining data.
by Abdulkader Helwan
In this article, we’ll work on restructuring ResNet50 to perform the new classification task.
by Murthy TS
Getting clean, structured data from four leading AI platforms - OpenAI, Groq, Gemini, and Mistral
by Azim Zahir
How to create a Reverse Polish Notation (RPN) Calculator using Python
by Phil Hopley
First part in a series on a ROS (Robot Operating System) House Bot
by Phil Hopley
Second part in a series on a ROS (Robot Operating System) House Bot
by Phil Hopley
Third part in a series on a ROS (Robot Operating System) House Bot
by Phil Hopley
Fourth part in a series on a ROS (Robot Operating System) House Bot
by Phil Hopley
Fifth part in a series on a ROS (Robot Operating System) House Bot
by Phil Hopley
Eighth part in a series on a ROS (Robot Operating System) House Bot
by Marc Clifton
My adventure with hardware and communicating between a BeagleBoneBlack and a C# app on Windows.
by sbarnes
This time, I'm sure I've found stuff that is completely new and previously unknown.
by Intel
This paper provides introductory information, links and resources for operating an IEI Tank with the Intel® Distribution of OpenVINO™ toolkit for Linux with FPGA support.
by Abdulkader Helwan
In this article we evaluate VGG19 using real images taken by a phone camera.
by Jarek Szczegielniak
In this article, we’ll create a container to run a CPU inference on the trained model.
by Jarek Szczegielniak
In this article we go back to the Intel/AMD CPUs. This time, we will speed up our calculations using a GPU.
by Suhagkumar Vamja
This article discusses running automation tests at scale using Python, primarily focusing on Selenium.
by Sergey L. Gladkiy
In this next article of the series, we’ll show how to run the face recognition servers on Kubernetes.
by Tommi G
How to script DotNetNuke the Python way.
by FiegeU
A worktime tracking solution that reads RFID tags on a Raspberry based terminal that is integrated to Dynamics AX 2009
by Cloud Native Apps Team
In the final part of our series, we’ll dive into how to harness AKS’ powerful features like auto-scaling and high availability to manage variable workloads and maintain continuous service.
by beep
Introduction to the Aim framework for dynamic scripting
by Jerome Terry
Extending .NET applications by adding scripting support via IronPython
by Joydip Kanjilal
Examine data for sentiment analysis using HANA and Amazon SageMaker
by MehreenTahir
In this article, we’ll look at some advantages of serverless computing and then dig into a real-world example using the Microsoft Azure Functions service to build and deploy a sample ML inferencing function.
by Miguel Angel Cabrera Miñagorri
Learn to create real-time computer vision applications with a couple of Python functions and a model URI.
by Allister Beharry
In this article, we set up a development environment on Windows 10 for cross-platform computer vision and machine learning projects to run on our Pi device.
by Joel Ivory Johnson
This is the first in a series of articles on using TensorFlow Lite on Android to bring the power of machine learning and deep neural networks to mobile application
by Intel
This tutorial will walk you through the process of installing the AWS IoT SDK and show you how to make basic MQTT calls.
by Jarek Szczegielniak
In this article we prepare our development environment.
by Shun Huang
A tutorial for using Visual Studio Code for Python Development on various environments.
by Nuralem Abizov
Discover how to create your own conversational Telegram bot powered by OpenAI's ChatGPT, with this step-by-step guide designed for beginners.
by MukeshKumarTech
This article will help you to understand how to setup Python environment in existing Visual Studio 2017. If you don’t have Visual Studio 2017 installed and you would like to install it, then you can refer to the below article for step by step information.
by Volynsky Alex
This article describes the difference between shallow and deep copy using Python 3.
by Marcelo Ricardo de Oliveira
How to create a pronunciation test tool using Silverlight and Python
by Sarathlal Saseendran
This is a sample Python Flask program uses mongodb as database.
by Igor Ladnik
Simple software to solve quadratic optimal control problem
by Brian Kwak
Main content pages use AngularJS to display, and MVC .NET authorization is used for user validation
by Ahmed Bouchefra
Single page apps with Flask and Angular 4|5 tutorial series
by Intel
This article is a proof of concept to explore quickly prototyping an analytics solution at the edge using Intel® IoT Gateway computing power to create a Smarter Security Camera.
by Plantronics
SmartPresence for Google Talk
by jonbowen234
SMS implementation with the Telit Cellular Module using Python
by Intel
In this article, we will talk about criteria you can use to select correct algorithms based on two real-world machine learning problems that were taken from the well-known Kaggle platform used for predictive modeling and from analytics competitions where data miners compete to produce the best model
by Markus Glagla
How to prepare training and test data, define a simple neural network model, train and test it
by Intel
Intel has invested in optimizing performance of Python itself, with the Intel® Distribution for Python, and has optimized key data science libraries used with scikit-learn, such as XGBoost, NumPy, and SciPy. This article gives more information on installing and using these extensions.
by Yosry Negm
Introduce a simplified clarification about the main steps for performing statistical learning or building machine learning model
by Ryukkkk
Easy to implement machine learning
by Ryukkkk
Easy to implement machine learning
by Ryukkkk
Easy to implement machine learning
by Ryukkkk
Easy to implement machine learning
by Ryukkkk
Easy to implement machine learning
by Ryukkkk
Easy to implement machine learning
by Ryukkkk
Easy to implement machine learning
by Intel
There are many techniques to predict the stock price variations, but in this project, New York Times’ news articles headlines is used to predict the change in stock prices.
by Glenn Prince
In this article, we create an Event Hubs instance and a demonstration application that sent messages using the Kafka API.
by Glenn Prince
In this article, we develop several Azure Functions in Python to process the payload we receive and save the data to a Cosmos DB instance.
by Glenn Prince
In this article we finish building our application by adding Power BI to build reports and dashboards on top of our Cosmos DB dataset.
by Sander Rossel
How to write a Python app to ingest weather data into Azure using an Azure Event Hub
by Sander Rossel
How to process data by connecting the Event Hub to Azure Streaming Analytics
by Sander Rossel
How to transform data to produce statistics and visualize data using Power BI
by David Norton
In this article we use PySpark to stream and analyze our data.
by David Norton
In this article we explore how to stream data into Kafka.
by Intel
OpenVINO integration with Torch-ORT gives PyTorch developers the ability to stay within their chosen framework all the while still getting the speed and inferencing power of OpenVINO™ toolkit through inline optimizations used to accelerate your PyTorch applications.
by Peter Kankowski
How to make your code shorter and easier to maintain by using arrays
by Cloud Native Apps Team
In this four-part series, you’ll learn how to create an Intelligent App with Azure Container Apps. In this fourth and final part, you’ll explore how to integrate a custom model into your Intelligent Apps, enhancing the application’s features with specialized AI.
by philoxenic
In this article, we set up with the Bullet physics simulator as a basis for doing some reinforcement learning in continuous control environments.
by philoxenic
In this article, we look at two of the simpler locomotion environments that PyBullet makes available and train agents to solve them.
by Sau002
How to create C# applications using TensorFlowSharp
by Alvin Ashcraft
Last June, I reviewed the Aspose.Email for .NET component and demonstrated how to work with email messages in PST files or via IMAP. Well, I am back again for a look at another Aspose package. This one is Aspose.Cells for .NET.
by Chris Solutions
The implementation of a no-framework client application using high-level developer governance.
by Xiao Ling
In this article, we discuss the unique challenges DPM codes present, and how Dynamsoft Barcode Reader overcomes these challenges with just a few lines of code.
by Dino Konstantopoulos
Running Theano with an Nvidia 1070 GPU on Windows 10, with CUDA 8 and Visual Studio 2015
by Adrian Pirvu
Neural Patterns model for new thinking machines
by Mark_Nadelson
How can financial models built in Excel provide quicker and deeper insights by using Eikon Data API (DAPI), Python and xlwings to automate calculations?
by Martin_Rupp
Tools and software required to build a DL-based automatic translation system
by Chris_Riley
This article explores how developers can make deep-learning applications faster and more efficient by taking advantage of tools that optimize deep-learning code.
by sbarnes
A small utility that feature-creeped into Yet Another SCM tool - a useful app to examine
by Intel
We will train the Apache MXNet Gluon model in Amazon SageMaker to read handwritten numbers of MNIST dataset and then run the prediction for ten random handwritten numbers on IEI Tank AIoT Developer Kit.
by Glenn Prince
In this article, we begin the process of creating a custom object detection model.
by MehreenTahir
In the previous article we trained a simple machine learning model that identifies when and where a human is present in an image. This article will demonstrate how to test this model and re-train it as necessary.
by MehreenTahir
In this article we demonstrate how to deploy a Custom Vision model on a Raspberry Pi device to detect pedestrians in front of a vehicle.
by Sergey L. Gladkiy
In this article, we’ll discuss training our DNN classifier with the augmented dataset.
by philoxenic
In this article we will try to train our agent to run backwards instead of forwards.
by philoxenic
In article in this series we will look at even deeper customisation: editing the XML-based model of the figure and then training the result.
by philoxenic
In this article in the series we start to focus on one particular, more complex environment that PyBullet makes available: Humanoid, in which we must train a human-like agent to walk on two legs.
by philoxenic
In this article we will adapt our code to train the Humanoid environment using a different algorithm: Soft Actor-Critic (SAC).
by Abdulkader Helwan
In this article, we train a CycleGAN with a U-Net-based generator.
by Sergio Virahonda
In this article, we’re going to use the dataset to train a YOLOv5 object detection model.
by Abdulkader Helwan
In this article we show you how to train the GAN for fashion design generation.
by Joel Ivory Johnson
In this article we will generate output from a program will provide a TensorFlow freeze graph ready to be used or converted to TensorFlow Lite.
by Nikola M. Živković
How to transfer leaning with TensorFlow2
by Intel
Fast and Easy Training and Inference Using Intel® Consumer GPUs and Windows* Subsystem for Linux 2
by zdimension
A cross-platform algorithm/pseudocode and Python development environment with debugging features
by Сергей Челноков
How to write your Notepad
by omeecode
Truth about programming that nobody tells you when you start out
by Intel
Understanding Capsule Network Architecture
by Friedrich Brunzema
How to programmatically edit a Confluence Wiki page
by Cloudster
Run command line Linux apps inside of Django to rapidly process 360 degree images.
by sjb_strat
Use machine learning to determine the programming language of text
by Shun Huang
How to use Sphinx for Python documentation
by Jesse Casman
Use an Amazon Echo to control an IoT device to find out temperature and more
by Joel Ivory Johnson
In this article we will take a pre-trained neural network and adapt it for use in TensorFlow Lite.
by Sergio Virahonda
In this article we’ll start to focus on our DIY approach.
by Michael Pan
Creating makefiles from vcproj files and using them with the ClearCase winking mechanism.
by Jayson DeLancey
This article is the seventh in the Sentiment Analysis series that uses Python and the open-source Natural Language Toolkit. In this article we look at some alternatives to VADER.
by Matthew Dennis
Integrating CodeProject.AI Server with the Blue Iris video security and webcam system
by Sharjith
This article shows how to instantiate a COM object in Python and use its methods and properties.
by Digma.ai
Python decorators can help keep OpenTelemetry tracing instrumentation DRY
by Sergey L. Gladkiy
In this article we create a Docker container for this system.
by Android on Intel
In the paper, we will introduce how to get useful information from sensor data, and then we will use an Intel Context Sensing SDK example to demonstrate flick detect, shake detect, glyph detect.
by Muhammad Jarir Kanji
This tutorial will go through the GeoPandas GeoDataFrame, quick and easy visualization of the OSM street networks, with additional helper functions for added customization of the resulting maps using OSMnx, with code samples.
by Miguel Restrepo
This blog will focus on the image component of DICOM files, and specifically on how to access and decode DICOM pixel data using Accusoft’s PICTools.
by Keith Pijanowski
In this article, I provided a brief overview of the ONNX Runtime and the ONNX format.
by Keith Pijanowski
In this article, I provided a brief overview of the ONNX Runtime and the ONNX format.
by Glenn Prince
In this article, we'll have a look at some of the pretrained models we can use in ImageAI to start detecting people in images.
by Jayson DeLancey
This article is the third in the Sentiment Analysis series that uses Python and the open-source Natural Language Toolkit. In this article, we'll look at techniques you can use to start doing the actual NLP analysis.
by Mahmoud Samir Fayed
Using Python inside Programming Without Coding Technology (PWCT) environment.
by Thomas Weller
Demonstrates how to run Python scripts from C#
by Zen_Z
How to make a Windows service using Python
by Garbel Nervadof
This article demonstrates how to use Python to solve simple Laplace equation with Numpy library and Matplotlib to plot the solution of the equation. We'll also see that we can write less code and do more with Python.
by rerhart585
Using SQLite, leverage the create_aggregate(), and SQL's Between Operator to create a Normal Probability Distribution Histogram, or what is more commonly referred to as a Bell Curve.
by Joel Ivory Johnson
In this entry of the AI Hazard Detection on Android series we will interpret the results and provide the relevant information to the user.
by Intel
This guide will teach you how to use GATT profile, by interfacing with the Texas Instruments SensorTag over Bluetooth* Low Energy.
by Joel Ivory Johnson
In the next part of the AI Hazard Detection on Android series, we’ll have the application process live data.
by Intel
The Model Optimizer is a cross-platform command-line tool that facilitates the transition between the training and deployment environment, performs static model analysis, and adjusts deep learning models for optimal execution on end-point target devices.
by Dmitriy Repin
Using VS Code to author and debug an any-language service inside of a container running locally, on a cloud VM, or in a Kubernetes pod
by Allister Beharry
In this article, we have a look at the details of the TrafficCV implementation and the various object detection models to use for detecting vehicles and calculating their speed.
by Sergio Virahonda
In the previous article I gave a general overview of deep fakes generation and the elements involved in the process.
by Jeffrey T. Fritz
In this video, Jeff shows how to get started with Visual Studio 2019 and Python. He even installs and uses the Intel Python distribution as well, to show how you can use multiple Python distributions and easily change between them in Visual Studio
by Azim Zahir
Visualizing a Binary Search Tree using Python, Tkinter and Graphviz
by Joel Ivory Johnson
In the previous installation of this series, a TensorFlow Lite interpreter had examined an image and produced its output. In this article we learn how to interpret these results and create visualizations for them.
by Sergey L. Gladkiy
In this article, we’ll wrap the face identification model in a simple Web API, create a client application on the Raspberry Pi, and run the client-server system.
by VISWESWARAN1998
Scrape the websites with Python 3
by Ștefan-Mihai MOGA
Design and implementation of a Web Search Engine using Text Mining techniques
by SimbirSoft
A bit about Python & Flask
by Allister Beharry
This article series will show you how to build a reasonably accurate traffic speed detector using nothing but Deep Learning, and run it on an edge device like a Raspberry Pi.
by Sergio Virahonda
This series of articles will guide you through the steps necessary to develop a fully functional time series forecaster and anomaly detector application with AI.
by Intel
This article will explore a proof of concept that leverages the capabilities of Helix Device Cloud (HDC) and uses the UP Squared board as the vending machine gateway.
by P. Erward
How to put the AWS Lambda C++ Runtime into a Lambda layer and how to use it
by Grasshopper.iics
Workaround for Sending Bluetooth command from Android Phone to Javascript based programs in Intel Edison
by Azim Zahir
This article is a demonstration of some of the capabilities of the OpenCV library of Python.
by beep
A full WPF sample application demonstrating IronPython business rules
by li9705
Activity of android application is main entity which likes windows on win32 platform. It has lifecycle, contains gui widgets, and manages them together. Activity can create child activities, with initial parameters, and gets results from them. Here gives an example to operate activities, which code
by Ryan Peden
Writing to a Slack Channel - Python Edition
by Stein Borge
How to populate properties and customize layout.
by Peter Leow
Design and implement a simple AI agent that can learn and fight the relentless spam plague.
by Mr.PoorEnglish
Usage of Linq and anonymous Methods help keep code briefly
by Mitchell J.
Learn how to setup a Raspberry Pi as a wifi router, track public transport with GTFS, install & use Django, and combine CMUsphinx, Webview, and Microsoft's speech API in an Android app. We'll also control Sonos speakers, build a security camera, and consume some API's (including the CodeProject API)