GitHub projects

Algorithms for learning and inference with discrete probabilistic models.

Efficient Gaussian Process Regression in OCaml.

numl is a machine learning library intended to ease the use of using standard modelling techniques for both prediction and clustering.

Together with AForge.NET, this library can provide image processing and computer vision algorithms to Windows, Windows RT and Windows Phone. Some components are also available for Java and Android.

Open source C# framework for developers and researchers in the fields of Computer Vision and Artificial Intelligence. Development has now shifted to GitHub.

Cross platform wrapper of OpenCV which can be compiled in Mono to be run on Windows, Linus, Mac OS X, iOS, and Android.

Efficient pure-Matlab implementations of graph algorithms to complement MatlabBGL's mex functions.

MatlabBGL is a Matlab package for working with graphs.

A library dedicated to automated hyperparameter optimization with a simple, lightweight API to facilitate drop-in replacement of grid search. Optunity is written in Python but interfaces seamlessly with MATLAB.

Convolutional-Recursive Deep Learning for 3D Object Classification[DEEP LEARNING].

Training a deep autoencoder or a classifier

A NLP library for Matlab.

Collection and a development kit of MATLAB mex functions for OpenCV library.

The Curvelet transform is a higher dimensional generalization of the Wavelet transform designed to represent images at different scales and different angles.

MATLAB source code that implements the contourlet transform and its utility functions.

Lua - Numerical Algorithms [Deprecated]

Lunatic Python

Relax! Flux is the ML library that doesn't make you tensor

A fun TensorFlow.js-based oracle that tells, whether one wears a face mask or not. It can even tell when one wears the mask incorrectly.

Rock Paper Scissors trained in the browser with TensorFlow.js

A new web standard that allows web apps and frameworks to accelerate deep neural networks with on-device hardware such as GPUs, CPUs, or purpose-built AI accelerators.

A WebGL accelerated, browser based JavaScript library for training and deploying ML models.

List of several machine learning libraries.

Agglomerative hierarchical clustering implemented in JavaScript for Node.js and the browser. [Deprecated]

ConvNetJS is a JavaScript library for training Deep Learning models[DEEP LEARNING] [Deprecated]

Nivo - built on top of the awesome d3 and Reactjs libraries

AnyChart

Platform for data visualization and analysis, using the visualizer project.

library written on Vanilla JS for big data visualization.

Customizable SVG map/geo visualizations using D3.js. [Deprecated]

customizable library based on D3.js for easy chart drawing.

Sigma.js

sigmajs.org

JavaScript library for rendering network graphs of thousands of nodes and edges in the browser

amCharts

amcharts.com

Demo gallery of the amCharts 5 JavaScript library, from bar charts to maps and dashboards

dimple

dc.js

D3.js

d3js.org

JavaScript library for building custom data visualisations from scratch

Friendly guide on using Keras to implement a simple Neural Network in Python.

[Deprecated]

Mathematics software for numeric computation, statistics, symbolic calculations, data analysis and data visualization.

Storm is a distributed realtime computation system.

Open source platform for distributed stream and batch data processing.

Open Source Toolkit For Speech Recognition purely based on Java speech recognition library.

Weka is a collection of machine learning algorithms for data mining tasks.

A machine learning library written in Java by Oracle.

Statistical Machine Intelligence & Learning Engine.

RapidMiner integration into Java code.

SAMOA is a framework that includes distributed machine learning for data streams with an interface to plug-in different stream processing platforms.

Neuroph is lightweight Java neural network framework.