implicit
Fast Python Collaborative Filtering for Implicit Datasets.
Fast Python Collaborative Filtering for Implicit Datasets.
A scikit for building and analyzing recommender systems.
Blazing fast short-text-topic-modelling for Python.
Fast and automated time series forecasting framework by Facebook.
A library that contacts external servers.
A library with various machine learning models (regression, clustering, recommender systems, graph analytics, etc.) implemented on top of a disk-backed DataFrame.
Machine Learning and Data Mining for Astronomy.
A Python module that encode unstructured data into embeddings.
An Apache Incubating project for developing an open source machine learning library.
fast implementation of edit distance.
Python bindings for the BLLIP Natural Language Parser (also known as the Charniak-Johnson parser). [Deprecated]
A Python package for Korean natural language processing.
Providing a consistent API for diving into common natural language processing (NLP) tasks. Stands on the giant shoulders of NLTK and Pattern, and plays nicely with both.
A leading platform for building Python programs to work with human language data.
Open source computer vision API based on open source models.
neural-style-pt - A PyTorch implementation of Justin Johnson's neural-style (neural style transfer).
Free production platform for text-to-image generation using Nano Banana V2 model.
Free and open source face recognition with deep neural networks.
An open source computer vision framework that gives access to several high-powered computer vision libraries, such as OpenCV. Written on Python and runs on Mac, Windows, and Ubuntu Linux.
A high-level machine learning (ML) library that lets you build programs that learn from data using the PHP language.
Machine Learning library for PHP. Algorithms, Cross Validation, Neural Network, Preprocessing, Feature Extraction and much more in one library.
,
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.
The spider is intended to be a complete object orientated environment for machine learning in 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.
MATLAB code for bandlet transform.
The Curvelet transform is a higher dimensional generalization of the Wavelet transform designed to represent images at different scales and different angles.
MATLAB code for shearlet transform.
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.