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Using Python Scripts from a C# Client (Including Plots and Images)

by Thomas Weller

Demonstrates how to run Python scripts from C#

Creating a Chatbot using Amazon Lex Service

by Akhil Mittal

Creating a real-time chatbot using Amazon Lex Services and deploying the bot over Facebook messenger

Rotating a Cube with an L3G4200D Gyro Chip wired to a BeagleBone Black

by Marc Clifton

My adventure with hardware and communicating between a BeagleBoneBlack and a C# app on Windows.

CodeProject.AI Server: AI the easy way.

by CodeProject

Our fast, free, self-hosted Artificial Intelligence Server for any platform, any language

Latest Articles

How to Export a User's Profile into Keycloak

by Balachandar Jeganathan

Export user profiles into Keycloak

Speeding Up the Databricks Runtime for Machine Learning

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.

Performing Speech-to-Text Recognition with OpenVINO™

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.

Deploy AI Inference with OpenVINO™ and Kubernetes

by Dariusz Trawinski

In this article, you will learn how to use key features of the OpenVINO™ Operator for Kubernetes.

All Articles

Python

Using Python Scripts from a C# Client (Including Plots and Images)

26 Aug 2019

Thomas Weller

Demonstrates how to run Python scripts from C#

machine-learning

Creating a Chatbot using Amazon Lex Service

25 Jan 2019

Akhil Mittal

Creating a real-time chatbot using Amazon Lex Services and deploying the bot over Facebook messenger

Rotating a Cube with an L3G4200D Gyro Chip wired to a BeagleBone Black

8 May 2016

Marc Clifton

My adventure with hardware and communicating between a BeagleBoneBlack and a C# app on Windows.

CodeProject.AI Server: AI the easy way.

21 Feb 2022

CodeProject

Our fast, free, self-hosted Artificial Intelligence Server for any platform, any language

artificial-intelligence

Machine Learning - Opinion and Text Mining by Naive Bayes Classifier

26 Apr 2018

Mahsa Hassankashi

Best practice for opinion and Text Mining based on Naïve Bayesian Classifier.

machine-learning

IP Radar 2

5 Mar 2021

Clark Fieseln

Real-time detection and defense against malicious network activity and policy violations (exploits, port-scanners, advertising, telemetry, state surveillance, etc.)

Rodney - A Long Time Coming Autonomous Robot (Part 2)

16 Jan 2019

Phil Hopley

Second part in a series on a ROS (Robot Operating System) House Bot

Brief Introduction of a Continuous SQL-stream Sending and Processing System (Part 1: SQLite)

1 Jan 2021

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

Hacking Alexa's Voice Recordings

7 Nov 2019

Michael Haephrati

Now you can store your own voice recordings kept by Amazon but not made available to customers

Create a Dockerized Python Fiddle Web App

10 May 2017

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)

Correcting Missing Data in Pandas

29 May 2020

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.

artificial-intelligence

Silverlight Pronunciation Test

29 Apr 2012

Marcelo Ricardo de Oliveira

How to create a pronunciation test tool using Silverlight and Python

Introducing Jupyter and Pandas

29 May 2020

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.

artificial-intelligence

machine-learning

Reshaping Data in a Pandas DataFrame

29 May 2020

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.

artificial-intelligence

Custom Model Object Detection with OpenCV and ImageAI

11 Jun 2020

Glenn Prince

This article gives you a good starting point for your own object detection projects.

artificial-intelligence

machine-learning

Raspberry Pi - Haynes Owner's Workshop Manual

5 Mar 2014

DaveAuld

A quick book review of what could be one of the "Best Haynes Manual Ever"

Adding Object Detection with TensorFlow to a Robotics Project

28 Apr 2019

Phil Hopley

In this article, we will add AI to an existing ROS (Robot Operating System) House Bot.

machine-learning

Loading CSV and SQL Data into Pandas

29 May 2020

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.

artificial-intelligence

Bernoulli Factory Algorithms

2 Sep 2021

Peter Occil

Algorithms to turn biased "coin flips" into biased "coin flips", and how to code them.

Rodney - A Long Time Coming Autonomous Robot (Part 5)

7 Apr 2019

Phil Hopley

Fifth part in a series on a ROS (Robot Operating System) House Bot

Rodney - A Long Time Coming Autonomous Robot (Part 8)

3 May 2019

Phil Hopley

Eighth part in a series on a ROS (Robot Operating System) House Bot

Rodney - A Long Time Coming Autonomous Robot (Part 3)

17 Jan 2019

Phil Hopley

Third part in a series on a ROS (Robot Operating System) House Bot

Can QR Decomposition Be Actually Faster? Schwarz-Rutishauser Algorithm

3 Jan 2022

Arthur V. Ratz

Optimizing the performance of the large-sized matrices QR factorization and eigendecomposition, using Schwarz-Rutishauser algorithm

Dockerize A Simple Web-Application Created By Using Python, Flask and PostgreSQL

24 Aug 2018

Arthur V. Ratz

Create a Python web-app using Flask and PostgreSQL server, and run it in Docker

Web Search Engine

14 Jan 2022

Ștefan-Mihai MOGA

Design and implementation of a Web Search Engine using Text Mining techniques

Invoking TensorFlow AI (Python) from a C# Desktop Application

11 Oct 2019

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.

Combining Multiple Datasets in Pandas

29 May 2020

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

artificial-intelligence

Installing OpenCV and ImageAI for Object Detection

4 Jun 2020

Glenn Prince

In this article, we'll set up everything we need to build a hardhat detector with OpenCV.

artificial-intelligence

machine-learning

Using Pretrained Models to Detect People With OpenCV and ImageAI

8 Jun 2020

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.

artificial-intelligence

machine-learning

Basic Deep Learning using Python+Keras

31 May 2018

Jesús Utrera

First article of a series of articles introducing deep learning coding in Python and Keras framework

Audio Steganography for Pretty Good Concealing (AS4PGC)

25 Sep 2021

Clark Fieseln

Compress, encrypt and hide a secret file inside an audio file (MP3, WAV, OGG, FLAC, ..)

Python Fourier Transform Helper Library

13 Apr 2022

Steve Hageman

A Python Library to help make properly scaled Fourier Transforms including utility functions

frequency-analysis

An Interesting Problem in the History of Probability

6 Jun 2018

Amarnath S

A historical problem in Probability with apparent and correct solutions, along with its Python simulation

CrashRptEx - An Extension to the CrashRpt Crash Reporting System

23 May 2018

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

Algorithmic approaches to solving the Pascal's Triangle and the Newton's Binomial

18 Aug 2014

José Cintra

Some suggestions of algorithms for solving the Pascal Triangle, addressing iterative, recursive and functional paradigms

WPF and IronPython Business Rules - Part 2

9 Jun 2015

beep

A full WPF sample application demonstrating IronPython business rules

Building a search engine with Python, Tornado and Strus

20 Oct 2017

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.

Creating a Turing Machine in Python – Part 2

22 Nov 2018

Philipp_Engelmann

How to create a Turing machine in Python - Part 2

artificial-intelligence

machine-learning

Data Visualization using Seaborn and Pandas

29 May 2020

Glenn Prince

In this seventh part of the Data Cleaning with Python and Pandas series, we can explore our visualization options.

artificial-intelligence

Preparing Images for Object Detection With OpenCV and ImageAI

9 Jun 2020

Glenn Prince

In this article, we train our own custom model to detect if people are wearing hardhats.

artificial-intelligence

machine-learning

Configuration Files in Python

9 Dec 2021

Akhil Mittal

Create a config file; add, update and delete a configuration, and read a configuration in a Python app

Performance testing of ORM layers in Python and C++

27 Jan 2015

Vaclav Naydenov

Comparing the performance of two similar CRUD server apps, one written in Python and SQLAlchemy, the other in C++ and YB.ORM.

Scripted Business Rules with .NET and IronPython, Part 1

28 May 2015

beep

Introduction to the Aim framework for dynamic scripting

Implementation of Convolutional Neural Network using Python and Keras

5 Mar 2018

Nikola M. Živković

Implementation of Convolutional Neural Network using Python and Keras

parallel-processing

Deploy Node.js Application Running on Microsoft IIS 10 To Docker's Windows Server Core 2016 Containers

1 Sep 2018

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

Shallow Copy vs. Deep Copy in Python 3

24 Nov 2019

Volynsky Alex

This article describes the difference between shallow and deep copy using Python 3.

Cleaning Data in a Pandas DataFrame

29 May 2020

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.

artificial-intelligence

Converting an ONNX Object Detection Model to iOS Core ML

21 Nov 2020

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.

artificial-intelligence

Training a Custom Model with OpenCV and ImageAI

10 Jun 2020

Glenn Prince

In this article, we begin the process of creating a custom object detection model.

artificial-intelligence

machine-learning

Portable Neural Networks with ONNX

3 Sep 2020

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.

artificial-intelligence

machine-learning

AI Anomaly Detection on Bitcoin Time Series Data

26 Feb 2021

Sergio Virahonda

In this article we talk about anomaly detection on time series data.

artificial-intelligence

Discrete Fourier Transform For Frequency Analysis

12 Oct 2014

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

Distributing a search engine index with Strus

20 Oct 2017

Patrick P. Frey

Article about implications of scalability requirements on full-text search engines and how Strus meets these requirements.

NAT traversal for Software Developers

1 Aug 2017

Andy Galluzzi

NAT traversal for Software Developers

Using Visual Studio Code to Develop a Service Inside of a Container

3 Aug 2019

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

virtual-machine

Finding Training Data for OpenCV and ImageAI Object Detection

5 Jun 2020

Glenn Prince

In this article, we create an object detection model.

artificial-intelligence

machine-learning

Age Estimation With Deep Learning: Getting Started

17 Jul 2020

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.

artificial-intelligence

Labelling Images for AI Model Training

27 Jan 2021

Sergio Virahonda

In this article in the series, we label a face mask dataset.

artificial-intelligence

Integrate SAP-HANA EML Library And TensorFlow Model Server (TMS) To Predict S&P 500 Index: Part 2: Build and Export TensorFlow Model

14 Sep 2019

Arthur V. Ratz

How to create and export TensorFlow S&P 500 Index prediction model and serve it using TensorFlow Model Server

artificial-intelligence

Build the Forest in Python Series: AVL Tree

6 Jun 2021

Shun Huang

Use Python to build AVL Tree

Making GET Requests in Python - Tutorial

15 Apr 2016

Lenny Cheng

We use Chrome DevTools, and the urllib and BeautifulSoup libraries to programmatically GET contents from www.codeproject.com.

Rodney - A Long Time Coming Autonomous Robot (Part 4)

17 Jan 2019

Phil Hopley

Fourth part in a series on a ROS (Robot Operating System) House Bot

Partially-Sampled Random Numbers for Accurate Sampling of Continuous Distributions

16 Mar 2022

Peter Occil

Python code for partially-sampled random numbers for accurate arbitrary-precision sampling

Building User Interfaces for Robotics with VTK - Part 2a

30 Sep 2014

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).

The High-Governance of No-Framework - Part 2

18 Jun 2016

Chris Solutions

The implementation of a no-framework client application using high-level developer governance.

Lina ChatBot - Generating Response Using Document Retrieval TF-IDF

11 Mar 2021

The Zakies

Build a retrieval based chatbot using TF-IDF

Palindromes - Fun with Words: Part 1

18 Jun 2018

charles922

Games/Fun with Programming

Python Single Thread vs Multi-Thread vs Multi-Process on Monty Hall Problem

11 Oct 2018

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.

Setting up macOS for ML and AI Development

26 Aug 2020

Jarek Szczegielniak

In this article we prepare our development environment.

artificial-intelligence

machine-learning

Building an AI Image Classification Model for iOS Using Create ML and Core ML

1 Sep 2020

Jarek Szczegielniak

In this article we can proceed to train our custom hot dog detection model using Apple’s Create ML.

artificial-intelligence

machine-learning

Real-time AI Person Detection on Edge Devices: Detecting Persons Using Pre-trained SSD Models

7 Oct 2020

Sergey L. Gladkiy

In this article, we’ll showcase the Python code for launching these models and detect humans in images.

artificial-intelligence

Crash Detection Using the Accelerometer

11 Jan 2021

Joel Ivory Johnson

In the next entry of the AI Hazard Detection on Android series, we will look at crash detection and notifications.

artificial-intelligence

Why Use AI on Time-Series Data?

24 Feb 2021

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.

artificial-intelligence

Detecting Pests with a Motion Detector and Trained DNN

23 Dec 2020

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.

artificial-intelligence

Why Use AI for Traffic Speed Detection?

13 Jan 2021

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.

artificial-intelligence

Rubber Duckies in Dynamical Systems

23 Dec 2020

sbarnes

This time, I'm sure I've found stuff that is completely new and previously unknown.

Setting Up an Android AI Development Environment

16 Sep 2020

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

artificial-intelligence

AI Hazard Detection on Android with Tensorflow Lite

5 Jan 2021

Joel Ivory Johnson

This article series will show readers how to create a real-time AI hazard detector using an Android device.

artificial-intelligence

Modal Analysis of Plane Truss using Python

3 Sep 2018

Bhairav Thakkar

Basic modal analysis for dynamic response of structures in Python

Building Microsoft Teams Apps with Serverless Python Part 1: Building a Personal Tab Teams App with Python and Azure Functions

17 Jan 2022

Marcelo Ricardo de Oliveira

In this article we demonstrate how to create a serverless Azure Functions web app in Python.

On How to Mix Two Signals by using Spectral Forecast

20 Mar 2022

Paul Aurelian Gagniuc

This article shows how to mix two signals into a third, in variable proportions.

Deploying Models at Scale on Azure - Part 1: Deploying XGBoost Models

28 Mar 2022

Jarek Szczegielniak

How to publish XGBoost and PyTorch models using Azure App Service, Flask, FastAPI, and machine learning online endpoints

rWTT - A Worktime Tracker based on Raspberry Hardware Linked to Dynamics AX

7 Aug 2017

FiegeU

A worktime tracking solution that reads RFID tags on a Raspberry based terminal that is integrated to Dynamics AX 2009

Analyzing C/C++ matrix in the gdb debugger with Python and Numpy

16 Oct 2013

M.Mo

Using the gdb debugger's Python API to analyze and visualize C/C++ arrays in a debugging session.

OpenGL in Python with TKinter

25 Jan 2016

Samuel Teixeira

Why simple if we can be complex?

Command Line Tool and C# Class for Uploading Videos on Vimeo

23 Aug 2019

Andreask84

A command line tool and a simple C# class with a complete set of functions to easily upload videos on Vimeo

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

8 Dec 2016

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.

Access control in Python

11 Apr 2017

Intel Corporation

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.

Enhancing Outlier Detection with Intel® Data Analytics Acceleration Library

19 Apr 2017

Intel Corporation

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.

machine-learning

Update Confluence Wiki Page Using Python

13 Jun 2017

Friedrich Brunzema

How to programmatically edit a Confluence Wiki page

Deep Learning using Python + Keras (Chapter 3): ResNet

18 Jun 2018

Jesús Utrera

Third article of a series of articles introducing deep learning coding in Python and Keras framework

machine-learning

Setting Up Python Development Environments with Visual Studio Code

8 Sep 2019

Shun Huang

A tutorial for using Visual Studio Code for Python Development on various environments.

Introducing NLTK for Natural Language Processing with Python

29 May 2020

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.

artificial-intelligence

Finding Data for Natural Language Processing

29 May 2020

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.

artificial-intelligence

Custom AI Face Recognition With Keras and CNN

5 Aug 2020

Arnaldo P. Castaño

In this article we’ll put together our CNN and train it for face recognition.

artificial-intelligence

machine-learning

Using Portable ONNX AI Models in C#

10 Sep 2020

Keith Pijanowski

In this article, I provided a brief overview of the ONNX Runtime and the ONNX format.

artificial-intelligence

Teaching a Robot to Walk with AI - Introduction to Continuous Control Environments

25 Sep 2020

philoxenic

In this article, we set up with the Bullet physics simulator as a basis for doing some reinforcement learning in continuous control environments.

artificial-intelligence

machine-learning

AI Queue Length Detection: R-CNN for Custom Object Detection Using Keras

27 Oct 2020

MehreenTahir

In this article, we’ll explore some other algorithms used for object detection and will learn to implement them for custom object detection.

artificial-intelligence

AI Queue Length Detection: Object Detection in Images Using YOLO

29 Oct 2020

MehreenTahir

In this article we will compare training our models from scratch with more advanced and pre-trained approaches like YOLO.

artificial-intelligence

Using the Live Camera with AI Hazard Detection on Android

12 Jan 2021

Joel Ivory Johnson

In the next part of the AI Hazard Detection on Android series, we’ll have the application process live data.

artificial-intelligence

Preprocessing Time Series Data for AI Forecasting and Anomaly Detection

25 Feb 2021

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.

artificial-intelligence

Audio Chat for Quite Good Privacy (AC4QGP)

6 Mar 2021

Clark Fieseln

Chat using "enhanced" end-to-end-encryption and modulation of audio signal in isolated device, ensuring privacy, anonymity and cybersecurity.

Preprocessing a Dataset for Deep Fakes

29 Mar 2021

Sergio Virahonda

In this article, I’ll go through what’s required to preprocess videos and prepare them to be fed into our models.

Running AI Fashion Classification on Real Data

18 Mar 2021

Abdulkader Helwan

In this article we evaluate VGG19 using real images taken by a phone camera.

artificial-intelligence

Training and Running a GAN for Fashion Design Generation

22 Mar 2021

Abdulkader Helwan

In this article we show you how to train the GAN for fashion design generation.

artificial-intelligence

Accessing Financial Reports in the EDGAR Database

29 Jan 2018

Matt Scarpino

Obtaining financial records from the Electronic Data Gathering, Analysis, and Retrieval (EDGAR) system

Integrate SAP-HANA EML Library And TensorFlow Model Server (TMS) To Predict S&P 500 Index: Part 1: Install and Configure SAP-HANA

8 Sep 2019

Arthur V. Ratz

How to properly install and configure SAP-HANA and TensorFlow Model Server to predict the S&P 500 Index

artificial-intelligence

Web API for Face Recognition

30 Jul 2021

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.

artificial-intelligence

Python's Hand in Redirecting Command Output Over the Network

26 Jul 2016

Zehaie M. Hailu

Python lends itself to the development of multi-threaded GUI and network applications.

AI Face Detection on Raspberry Pi

21 Jul 2021

Sergey L. Gladkiy

In this article we’ll run our face detector on a Raspberry Pi device.

artificial-intelligence

AI Social Distancing Detector: Finding People That Are Too Close

10 Dec 2020

Dawid Borycki

In this article, we will use those centers to estimate distances between people and indicate people that are too close.

artificial-intelligence

Transfer Learning with TensorFlow 2

25 Nov 2019

Nikola M. Živković

How to transfer leaning with TensorFlow2

OneNote to Markdown Using Python and the Microsoft Graph API

2 Dec 2021

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.

Getting Started With Raspberry Pi - Part III - How To Use Breadboard?

24 Sep 2017

Hussain Patel

In this article, we will see how to use Breadboard- it's a great way to connect circuits and your Pi together.

Programming in ObjectScript 1.5

25 Mar 2013

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.

Phalanx Linq - Traverse Healthcare's Business Development Labyrinth

9 Aug 2013

UmarSiddiqui

The Intelligent Way to Develop Business in the World of Healthcare

Data Cache Synchronization using AWS SNS and Lambda

29 Dec 2015

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.

Python Readonly Attributes: Complete Solution

31 Jan 2018

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

Python Concurrency Programming: 6 Python Synchronization Primitives You Should Know

11 Apr 2018

Packt Publishing

This is an excerpt from Learning Concurrency in Python, by Elliot Forbes. Published by Packt Publishing.

Single Page Apps with Flask and Angular 4|5 Tutorial Series

8 Apr 2018

Ahmed Bouchefra

Single page apps with Flask and Angular 4|5 tutorial series

Data Visualization using Matplotlib

24 Apr 2019

Azim Zahir

This article demonstrates Data Visualization using Matplotlib library of Python.

Make Your Own Image Classifier On Android Using Tensorflow Within 5 Steps

18 Jun 2019

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.

Data-Driven Process Schedule

23 Dec 2019

li9705

A new data-driven programming idea and method is proposed and discussed here, whose purpose is to improve programming flexibility, constructivity, and sharing

NLTK and Machine Learning for Sentiment Analysis

29 May 2020

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.

artificial-intelligence

Improving NLTK Sentiment Analysis with Data Annotation

29 May 2020

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.

artificial-intelligence

Using Cloud AI for Sentiment Analysis

29 May 2020

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.

artificial-intelligence

Discovering Python step by step - Using Python Queues - 03 - Detecting Queue Completion Properly

20 Oct 2020

daubrecq

How to detect queue completion from other threads properly when using Python queues.

Cartpole: Tweaking the Options

26 Jun 2020

philoxenic

In this article, we will see what’s going on behind the scenes and what options are available for changing the reinforcement learning.

artificial-intelligence

machine-learning

Introduction to OpenAI Gym: Atari Breakout

29 Jun 2020

philoxenic

In this article, we start to look at the OpenAI Gym environment and the Atari game Breakout.

artificial-intelligence

machine-learning

Learning Breakout More Quickly

30 Jun 2020

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.

artificial-intelligence

machine-learning

Learning Breakout From RAM – Part 1

2 Jul 2020

philoxenic

In this article we will learn from the contents of the game’s RAM instead of the pixels.

artificial-intelligence

machine-learning

Age Estimation With Deep Learning: Training CNN

23 Jul 2020

Sergey L. Gladkiy

In this article we train the CNN for age estimation.

artificial-intelligence

Preparing a Dataset for AI Face Recognition

4 Aug 2020

Arnaldo P. Castaño

In this article, we’ll talk about preparing a dataset for feeding the correct data to a CNN.

artificial-intelligence

machine-learning

Deep Learning Text-to-Speech

7 Aug 2020

Arnaldo P. Castaño

In this article we focus on the Text-to-Speech with the use of Deep Learning.

artificial-intelligence

machine-learning

Converting ONNX Image Classification Models to Core ML

27 Aug 2020

Jarek Szczegielniak

In this article we'll convert a ResNet model to the Core ML format.

machine-learning

AI Image Classification on iOS with ResNet

28 Aug 2020

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.

artificial-intelligence

machine-learning

Preparing Data for AI Image Classification on iOS

31 Aug 2020

Jarek Szczegielniak

In this article we’ll start data preparation for this new, custom model, to be later trained using the Create ML framework.

artificial-intelligence

machine-learning

Training a Humanoid AI Robot to Walk Using Proximal Policy Optimisation (PPO)

29 Sep 2020

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.

artificial-intelligence

machine-learning

Training a Humanoid AI Robot to Run Backwards

1 Oct 2020

philoxenic

In this article we will try to train our agent to run backwards instead of forwards.

artificial-intelligence

machine-learning

AI Queue Length Detection: Counting the Number of People in an Area

28 Oct 2020

MehreenTahir

In this article, we will train a deep learning model to detect and count the number of people in a given area.

artificial-intelligence

Deep Learning in C#: Coin Recognition in Keras.NET, Part II

6 Nov 2020

Arnaldo P. Castaño

In this article we will examine the CNN we implemented for coin recognition using Keras.NET.

artificial-intelligence

AI Social Distancing Detector: Improving People Detection With Yolo Object Detection

11 Dec 2020

Dawid Borycki

In this last article of the series, we improve our Python console application for AI-powered social distancing detection.

artificial-intelligence

Predicting Near Term COVID Death Rates

2 Jan 2021

Don Kackman

Using previous case and fatality numbers, predict future death rates based on current case counts

Preparing a Deep Learning Environment for COVID-19 Diagnosis

16 Feb 2021

Abdulkader Helwan

In this article, we’ll discuss materials and methods for this project.

artificial-intelligence

Fine-tuning VGG16 to Classify Clothing

17 Mar 2021

Abdulkader Helwan

In this article we show you how to train VGG19 to recognize what people are wearing.

artificial-intelligence

Age Estimation With Deep Learning: Building CNN

22 Jul 2020

Sergey L. Gladkiy

In this article we’ll build the network we’ve designed using the Keras framework.

artificial-intelligence

Let's IoT Hub: Tutorial 2

3 Aug 2018

g96b10

Create a console application that listens to the data your Raspberry Pi 3 uploads to Azure IoT Hub

Real-time AI Person Detection on Edge Devices: Testing SSD Models on Raspberry Pi

9 Oct 2020

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.

artificial-intelligence

Real-time AI Pest Elimination on Edge Devices: Getting Started

3 Mar 2021

Sergey L. Gladkiy

In this article, we compared two DNN types we can use to detect pests: detectors and classifiers.

artificial-intelligence

Detecting Pests Using Pre-Trained SSD Models

16 Dec 2020

Sergey L. Gladkiy

In the next article, we’ll use a pre-trained DNN to detect pests on video.

artificial-intelligence

Detecting Unusual Pests

17 Dec 2020

Sergey L. Gladkiy

In this we’ll talk about some ideas for detecting "exotic" pests, such as moose and armadillos.

artificial-intelligence

Extending Dataset with Data Augmentation

21 Dec 2020

Sergey L. Gladkiy

In this article, we’ll see how the same result can be achieved by data augmentation.

artificial-intelligence

22 Dec 2020

Sergey L. Gladkiy

In this article, we’ll discuss training our DNN classifier with the augmented dataset.

artificial-intelligence

Preparing Hardware for AI Traffic Speed Detection

15 Jan 2021

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.

artificial-intelligence

More AI Traffic Speed Detection With TrafficCV

20 Jan 2021

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.

artificial-intelligence

Optimizing the AI Traffic Speed Detector

27 Jan 2021

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.

artificial-intelligence

Preparing Data for AI Fashion Classification

16 Mar 2021

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.

artificial-intelligence

Decoding a Core ML YOLO Object Detector

23 Nov 2020

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.

artificial-intelligence

Creating Docker Containers for AI and Machine Learning

26 Apr 2021

Jarek Szczegielniak

In this article, we’ll start applying our basic Docker knowledge while creating and running containers in the various MLng scenarios.

artificial-intelligence

machine-learning

Multi-Stage Docker Builds for AI Object Detection

18 May 2021

Jarek Szczegielniak

In this article we run inference on sample images with TensorFlow using a containerized Object Detection API environment.

artificial-intelligence

machine-learning

Dockerized AI on Large Models With NLP and Transformers

19 May 2021

Jarek Szczegielniak

In this article we run an inference model for NLP using models persisted on a Docker volume.

artificial-intelligence

machine-learning

Debugging AI Code Running in a Docker Container

21 May 2021

Jarek Szczegielniak

In this article we use Visual Studio Code to edit and debug our increasingly complex code running inside a Docker container.

artificial-intelligence

machine-learning

Deploying AI Docker Containers to the Cloud

25 May 2021

Jarek Szczegielniak

In this article, we publish our NLP API service to Azure using Azure Container Instances.

artificial-intelligence

machine-learning

Jenkins Jobs and Deployments for MLOps on GKE

12 May 2021

Sergio Virahonda

In this article we’ll see how to define jobs, deployments, and services so that our containers can accomplish their objectives.

Real-time AI Person Detection on Edge Devices: Selecting Deep Learning Models

6 Oct 2020

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.

artificial-intelligence

Eliminating Pests with a Raspberry Pi

24 Dec 2020

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.

artificial-intelligence

Using Docker for Facial Identification

29 Jul 2021

Sergey L. Gladkiy

In this article we create a Docker container for this system.

artificial-intelligence

DIY Mars Probe: AWS Greengrass IoT v2 with a Raspberry Pi (Part 1)

22 Sep 2021

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.

Running Face Recognition on Kubernetes

3 Aug 2021

Sergey L. Gladkiy

In this next article of the series, we’ll show how to run the face recognition servers on Kubernetes.

artificial-intelligence

Converting YOLOv5 PyTorch Model Weights to TensorFlow Lite Format

29 Jan 2021

Sergio Virahonda

In this article we test a face mask detector on a regular computer.

artificial-intelligence

Build the Forest in Python Series: Red-Black Tree

31 Dec 2021

Shun Huang

Use Python to build Red-Black Tree

Video Face Transfer with Deep Fakes

24 Mar 2021

Sergio Virahonda

In the previous article I gave a general overview of deep fakes generation and the elements involved in the process.

Linear Regression with Tkinter

1 Sep 2021

Azim Zahir

Demonstration of Linear Regression using Tkinter GUI

Arm-Powered Driver Distraction Detection

7 Feb 2022

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

Building a Core ML Pipeline for the iOS Vision Framework

26 Nov 2020

Jarek Szczegielniak

In this article we’ll create a Core ML pipeline to be our end-to-end model.

artificial-intelligence

Deploying Models at Scale on Azure - Part 2: Deploying and Scaling PyTorch Models

29 Mar 2022

Jarek Szczegielniak

How to deploy and scale PyTorch models

PyQt5 signal/slot connection performance

4 Sep 2016

schollii

Investigation on effect of using pyqtSlot in PyQt5

FPGA Hardware Simulation Framework (FPGA_HW_SIM_FWK)

16 Apr 2022

Clark Fieseln

Simulate hardware containing an FPGA programmed in VHDL interactively

Azure Arc Enabled Servers Part 3: Setting up Security, Sentinel, and Runbooks

24 Jan 2022

Florian Rappl

In this article we see how to set up security, Sentinel, and runbooks.

virtual-machine

Modernizing Python Apps and Data on Azure Part 1: Introduction

7 Mar 2022

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.

Modernizing Python Apps and Data on Azure - Part 6: Becoming Cloud Native

4 May 2022

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

Running AI Models in GPU-Enabled Docker Containers

29 Apr 2021

Jarek Szczegielniak

In this article we go back to the Intel/AMD CPUs. This time, we will speed up our calculations using a GPU.

machine-learning

anonympy - Data Anonymization with Python

9 Feb 2022

Shakhansho

An overview of newly written package anonympy and a walk-through some of its methods and functionality

Computing Normal Probabilities in IronPython

26 Jun 2014

John D. Cook

Code for computing normal probabilities and a discussion of what does and does work in IronPython

Building User Interfaces for Robotics with VTK - Part 2b

26 Oct 2014

AD Colab Group

The continuation of the 2nd article, we look at the 3D environment and some more involved Visualization ToolKit (VTK) topics.

Hosting Without Limits: A Review of 1&1 Internet’s Unlimited Package

4 Mar 2015

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.

Getting Started with Intel® IoT Gateways - Python

18 Nov 2016

Intel Corporation

This article was written for Python. To get started using JavaScript, see Getting Started with Intel® IoT Gateways - Python

BigDL: Bring Deep Learning to the Fingertips of Big Data Users and Data Scientists

1 Jun 2017

Intel Corporation

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)

machine-learning

Connecting to AT&T M2X IoT using MQTT

21 Jul 2017

Intel Corporation

Connecting to AT&T M2X IoT using MQTT

Using Amazon Alexa to Control External IoT Output with Renesas AE-CLOUD1

15 Feb 2018

Jesse Casman

Use an Amazon Echo to control an IoT device to find out temperature and more

Simple Python Flask Program with MongoDB

6 Aug 2018

Sarathlal Saseendran

This is a sample Python Flask program uses mongodb as database.

Competing on kaggle.com for the First Time

25 Jan 2019

Philipp_Engelmann

Competing on kaggle.com for the first time

machine-learning

Step-by-Step Guide to Implement Machine Learning VIII - Linear Regression

27 May 2019

Ryukkkk

Easy to implement machine learning

machine-learning

360 Image Web Gallery with Django and A-Frame

3 Jul 2019

Cloudster

Deploy a 360 image gallery with Django, Bootstrap, Python, A-Frame, and PostgreSQL

Use Linux Apps With Django to Process Images

15 Jul 2019

Cloudster

Run command line Linux apps inside of Django to rapidly process 360 degree images.

Handling User-Submitted Content with Django

20 Aug 2019

Cloudster

Use Django logins to accept user "likes" and content submission

Recursion and Backtracking

18 Mar 2020

Rune Rafn

Using Python recursion and backtracking for resolving Sudoku

Starter Framework for Machine Learning Projects

14 May 2020

Yosry Negm

Introduce a simplified clarification about the main steps for performing statistical learning or building machine learning model

Hot Word / Voice Recognition using an ESP8266

20 Jun 2020

FiegeU

Add hot word recognition to your smarthome the ESP8266 way using MicroPython

Making Keras Models Portable Using ONNX

4 Sep 2020

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

artificial-intelligence

machine-learning

Making TensorFlow Models Portable Using ONNX

9 Sep 2020

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.

artificial-intelligence

Training Your Own TensorFlow Neural Network For Android

23 Sep 2020

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.

artificial-intelligence

Training a Humanoid AI Robot to Walk With Soft Actor Critic (SAC)

30 Sep 2020

philoxenic

In this article we will adapt our code to train the Humanoid environment using a different algorithm: Soft Actor-Critic (SAC).

artificial-intelligence

machine-learning

Training a Humanoid AI Robot to Run With a Custom Model

2 Oct 2020

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.

artificial-intelligence

machine-learning

Decoding a YOLO Core ML Object Detector Using Array Operations

24 Nov 2020

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.

artificial-intelligence

Creating a YOLO Core ML Object Detector with Decoding Logic

25 Nov 2020

Jarek Szczegielniak

In this article we are ready to include detection decoding directly in the Core ML model.

artificial-intelligence

iOS Object Detection with Live Camera Preview

27 Nov 2020

Jarek Szczegielniak

In the next article, we’ll start working on the iOS application that will use that model.

artificial-intelligence

Loading a TensorFlow Model with AI Hazard Detection on Android

6 Jan 2021

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.

artificial-intelligence

Using TensorFlow Lite Results with AI Hazard Detection on Android

7 Jan 2021

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.

artificial-intelligence

Alerting the Driver with AI Hazard Detection on Android

8 Jan 2021

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.

artificial-intelligence

Restructuring ResNet50 to Diagnose COVID-19

17 Feb 2021

Abdulkader Helwan

In this article, we’ll work on restructuring ResNet50 to perform the new classification task.

artificial-intelligence

Fine-tuning ResNet50 to Diagnose COVID-19

18 Feb 2021

Abdulkader Helwan

In this article, we’ll fine-tune our ResNet50 model.

artificial-intelligence

COVID-19 Diagnosis Using ResNet50 Transfer Learning: Building a DL Network from Scratch

22 Feb 2021

Abdulkader Helwan

In this article, we’ll show you how to build a network for Covid-19 detection from scratch.

artificial-intelligence

AI Forecasting and Anomaly Detection on Streaming Bitcoin Prices

2 Mar 2021

Sergio Virahonda

In this article we’ll combine forecasting and detection on a live stream of Bitcoin price data.

artificial-intelligence

Building and Training Deep Fake Autoencoders

30 Mar 2021

Sergio Virahonda

In this article we'll build and train our models with them.

The WiFiTomic Clock

23 Jul 2018

sbarnes

When the winds from Ft. Collins aren't strong enough to sail your boat.

Real-time AI Person Detection on Edge Devices: Launching SSD on Raspberry Pi

8 Oct 2020

Sergey L. Gladkiy

In this article, we’ll see how you can install Python-OpenCV on the device and run the code.

artificial-intelligence

Real-time AI Person Detection on Edge Devices: Detecting Persons on Video

13 Oct 2020

Sergey L. Gladkiy

In this article we’ll develop Python code for person detection in a video stream.

artificial-intelligence

Real-time AI Person Detection on Edge Devices: Detecting Persons on Video in Real-time Mode

14 Oct 2020

Sergey L. Gladkiy

In this article, we’ll modify the code for real-time processing on an edge device.

artificial-intelligence

Vehicle Detection with TrafficCV

19 Jan 2021

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.

artificial-intelligence

Completing the AI Traffic Speed Detector

22 Jan 2021

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.

artificial-intelligence

Making PyTorch AI Models Portable Using ONNX

8 Sep 2020

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.

artificial-intelligence

Approaches to Generating Deep Fakes

25 Mar 2021

Sergio Virahonda

In this article I’ll explain the different options we can choose from to create deep fakes.

Using Autoencoders for Deep Fake Generation

26 Mar 2021

Sergio Virahonda

In this article we’ll start to focus on our DIY approach.

Preparing to Train Deep Fake Models in the Cloud

1 Apr 2021

Sergio Virahonda

In this article I’ll show you how to train your deep fake models in the cloud with some help from Docker.

machine-learning

Putting it all Together: Swapping Faces with Deep Fakes

6 Apr 2021

Sergio Virahonda

In this article, we complete the pipeline for our Deep Fakes DIY solution.

DeepFaceLab: A Pre-Packaged Alternative DIY Deep Fakes

8 Apr 2021

Sergio Virahonda

In this article we’ll explore DeepFaceLab as an alternative to our last approach.

Generate New Fashion Designs with a Generative Adversarial Network (GAN)

19 Mar 2021

Abdulkader Helwan

In this article we show you how to build a Generative Adversarial Network (GAN) for fashion design generation.

artificial-intelligence

Continuous Training in an MLOps Pipeline

6 May 2021

Sergio Virahonda

In this article, we’ll deep-dive into the Continuous Training code.

machine-learning

Running AI Models in Docker Containers

27 Apr 2021

Jarek Szczegielniak

In this article, we’ll create a container to run a CPU inference on the trained model.

machine-learning

Exposing Dockerized AI Models via RESTful API

20 May 2021

Jarek Szczegielniak

In this article, we’ll modify our code to expose the same logic via a Rest API service.

artificial-intelligence

machine-learning

Building an MLOps Model API

10 May 2021

Sergio Virahonda

In this article we build the model API to support the prediction service.

machine-learning

Converting a Style Transfer Model from TensorFlow to TensorFlow Lite

27 Jul 2021

Abdulkader Helwan

In this project, our aim is to run a mobile Image-to-Image translation model on the Android platform.

Automating MLOps Deployment to Kubernetes

17 May 2021

Sergio Virahonda

In this article, we develop a semi-automated deployment-to-production script, which will complete our project.

Create Your First Machine Learning Model to Filter Spam

3 Mar 2018

sjb_strat

Create a Spam Filter Using Machine Learning

artificial-intelligence

machine-learning

Building an Object Detection iOS App with YOLO Core ML Model

30 Nov 2020

Jarek Szczegielniak

In this last article in this series, we’ll extend the application to use our YOLO v2 model for object detection.

artificial-intelligence

Creating a Python Cloud-Native Webapp, Part 1: Deploying to Azure App Service

5 Jan 2022

Glenn Prince

In this article we’ll create a more traditional web application using the Flash library and Azure WebApp.

Creating a Python Cloud-Native Webapp, Part 2: Adding an Azure Cosmos DB Database

6 Jan 2022

Glenn Prince

In this article, we’ll build on what we started by adding an Azure Cosmos DB database to our Flask web app.

Azure Arc Machine Learning Part 2: Training Machine Learning Models On-Premises Using Azure Arc-Enabled Machine Learning

3 Feb 2022

MehreenTahir

In this article, we learn how to train a machine learning (ML) model on an Arc-enabled Kubernetes cluster.

image-classification

machine-learning

Azure Arc Machine Learning Part 3: Inference Anywhere with Azure Arc-Enabled Machine Learning

4 Feb 2022

MehreenTahir

In this article we learn to deploy our model and enable inference anywhere with Azure Arc-enabled ML.

machine-learning

Python Machine Learning on Azure Part 1: Creating an XGBoost Model with Python, VS Code, and Azure ML

12 Jan 2022

Jarek Szczegielniak

How to use Visual Studio Code with Machine Learning extensions to train an XGBoost model on Azure

Python Machine Learning on Azure Part 3: Creating a TensorFlow Model with Python and Azure ML Studio

14 Jan 2022

Jarek Szczegielniak

How to train within an Azure Machine Learning workspace using a TensorFlow model

Streaming at Scale with Azure Event Hubs, Streaming Analytics, and Azure SQL Part 3: Analyzing and Visualizing the Data

24 Feb 2022

Sander Rossel

How to transform data to produce statistics and visualize data using Power BI

Point Inside 3D Convex Polygon in Python

20 Jan 2016

John Jiyang Hou

An algorithm to determine if a point is inside a 3D convex polygon for a given polygon vertices in Python

Training a Custom Object Detection Model on Azure Custom Vision Part 3: Deploying and Running the Model

17 Mar 2022

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.

machine-learning

Deploying Models at Scale on Azure - Part 3: Deploying and Scaling TensorFlow Models

30 Mar 2022

Jarek Szczegielniak

How to publish a TensorFlow model

Deploying to Azure Arc via Azure Application Services Part 2: Running Azure Functions Anywhere

6 Apr 2022

BenHall_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.

Training a Custom Object Detection Model on Azure Custom Vision Part 2: Testing the Model

16 Mar 2022

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.

machine-learning

Modernizing Python Apps and Data on Azure Part 3: Switching to Azure App Service

9 Mar 2022

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.

Modernizing Python Apps and Data on Azure - Part 4: Azure Kubernetes Service

2 May 2022

Marcelo Ricardo de Oliveira

How to containerize legacy Python app, create an AKS cluster, and deploy it using VS Code

Modernizing Python Apps and Data on Azure - Part 5: Data Modernization

3 May 2022

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

Introducing OpenVINO™ integration with TensorFlow

18 May 2022

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

artificial-intelligence

product-showcase

Using CodeProject.AI Server with Blue Iris

31 Jan 2022

Matthew Dennis

Integrating CodeProject.AI Server with the Blue Iris video security and webcam system.

artificial-intelligence

Data Clustering Simulation in Python and PyGame

14 Jun 2012

Ghazanfar_Ali

Clustering of 2D data Using Python and simulation in PyGame

machine-learning

Painting on a Widget

25 Apr 2012

Geoff Samuel

Create a PyQt Widget that can be drawn on

A Slice of Cucumber

9 Oct 2019

Zebedee Mason

Visual C++ tests are created from Gherkin DSL feature files using a Python 2.7 script

Plant Lighting System in Python

11 Apr 2017

Intel Corporation

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.

Distributed, Docker-ized Deep Learning with Intel® Nervana™ technology, neon, and Pachyderm

19 Apr 2017

Intel Corporation

In this post we show how to set up a production-ready machine learning workflow with Intel® Nervana™ technology, neon, and Pachyderm.

machine-learning

Installing and Building MXNet with Intel® MKL

3 May 2017

Intel Corporation

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.

machine-learning

Connecting an Intel® NUC to the Google Cloud Platform Service

18 May 2017

Intel Corporation

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

Deploying BigDL on Microsoft’s Azure Data Science Virtual Machine

1 Jun 2017

Intel Corporation

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)

machine-learning

Introduction to pyDAAL

1 Jun 2017

Intel Corporation

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.

machine-learning

Use Machine Learning to Determine the Programming Language of Text

3 Mar 2018

sjb_strat

Use machine learning to determine the programming language of text

machine-learning

Turing: Another Take on Algorithm and Python Development

1 May 2018

zdimension

A cross-platform algorithm/pseudocode and Python development environment with debugging features

Re-execute Test-cases and Merge the Robot Framework Reports via Jenkins

14 Aug 2018

Iqra Ali

This article will cover some very less common and highly used Robot Framework and Ipy command to follow within your Jenkins job.

Downloading Podcasts from Changelog

8 Nov 2018

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.

Creating a Turing Machine in Rust

30 Nov 2018

Philipp_Engelmann

In this series, I am going to rewrite the Turing machine I wrote in Creating a Turing machine in Python.

API Created in Flask

1 Feb 2019

WasiUllah Khan

Created an API for my DropBox file uploader using Flask

Notes on ML and TensorFlow: Linear Regression

21 Apr 2019

Coding Notes

Diary of learning Machine Learning and TensorFlow

artificial-intelligence

machine-learning