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A complete object-oriented environment for machine learning in Matlab.

This package contains the matlab implementation of the algorithms described in the book Pattern Recognition and Machine Learning by C. Bishop.

Examples of popular machine learning algorithms (neural networks, linear/logistic regressions, K-Means, etc.) with code examples and mathematics behind them being explained.

Multidimensional cluster generation in MATLAB/Octave.

A full port of Stanford NLP packages to .NET and also available precompiled as a NuGet package.

Multi-platform genetic algorithm library for .NET Core and .NET Framework. The library has several implementations of GA operators, like: selection, crossover, mutation, reinsertion and termination.

Neural network library in F#.

Deep belief and deep learning implementation written in F# and leverages CUDA GPU execution with Alea.cuBase.

.NET Standard bindings for Apache MxNet with Imperative, Symbolic and Gluon Interface for developing, training and deploying Machine Learning models in C#. https://mxnet.tech-quantum.com/

A Machine Learning framework for Objective-C and Swift (OS X / iOS).

Fast multilayer perceptron neural network library for iOS and Mac OS X. MLPNeuralNet predicts new examples by trained neural networks. It is built on top of the Apple's Accelerate Framework, using vectorized operations and hardware acceleration if available. [Deprecated]

An Objective-C multilayer perceptron library, with full support for training through backpropagation. Implemented using vDSP and vecLib, it's 20 times faster than its Java equivalent. Includes sample code for use from Swift.

It implemented 3 layers of neural networks ( Input Layer, Hidden Layer and Output Layer ) and it was named Back Propagation Neural Networks (BPN). This network can be used in products recommendation, user behavior analysis, data mining and data analysis. [Deprecated]

It implemented multi-perceptrons neural network (ニューラルネットワーク) based on Back Propagation Neural Networks (BPN) and designed unlimited-hidden-layers.

It is a non-supervisory and self-learning algorithm (adjust the weights) in the neural network of Machine Learning. [Deprecated]

It implemented K-Means clustering and classification algorithm. It could be used in data mining and image compression. [Deprecated]

It implemented Fuzzy C-Means (FCM) the fuzzy clustering / classification algorithm on Machine Learning. It could be used in data mining and image compression. [Deprecated]

A general statistics and machine learning library.

OCaml bindings for TensorFlow.

A OpenSource Computer Vision Library

Naïve Bayes

Chinese Words Segmentation Utilities.

A library for machine learning that builds predictions using a linear regression.

A machine learning / bayesian inference assigning attributes to objects.

Pretrain computer vision models on unlabeled data for industrial applications

A collection of algorithms for image processing in Python.

Swarm Intelligence in Python (Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Algorithm, Immune Algorithm, Artificial Fish Swarm Algorithm in Python)

Open source Python module for computer vision. [Deprecated]

Face recognition library that recognizes and manipulates faces from Python or from the command line.

A lightweight face recognition and facial attribute analysis (age, gender, emotion and race) framework for Python covering cutting-edge models such as VGG-Face, FaceNet, OpenFace, DeepFace, DeepID, Dlib and ArcFace.

deep learning based cutting-edge facial detector for Python coming with facial landmarks

Easy to install and use deep learning Faster R-CNN face detection for images and video in a docker container. [Deprecated]

FAIR's software system that implements state-of-the-art object detection algorithms, including Mask R-CNN. It is written in Python and powered by the Caffe2 deep learning framework. [Deprecated]

FAIR's next-generation research platform for object detection and segmentation. It is a ground-up rewrite of the previous version, Detectron, and is powered by the PyTorch deep learning framework.

Python-tesseract is an optical character recognition (OCR) tool for python. That is, it will recognize and "read" the text embedded in images. Python-tesseract is a wrapper for Google's Tesseract-OCR Engine.

A library containing Convenience functions to make basic image processing operations such as translation, rotation, resizing, skeletonization, and displaying Matplotlib images easier with OpenCV and Python.