MLlib in Apache Spark

Distributed machine learning library in Spark.

Hydrosphere Mist

a service for deployment Apache Spark MLLib machine learning models as realtime, batch or reactive web services.

ORYX

Lambda Architecture Framework using Apache Spark and Apache Kafka with a specialization for real-time large-scale machine learning.

LBJava

Learning Based Java is a modelling language for the rapid development of software systems, offers a convenient, declarative syntax for classifier and constraint definition directly in terms of the objects in the programmer's application.

DataMelt

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

Kandle

A JavaScript Native PyTorch-aligned Machine Learning Framework, built from scratch on WebGPU.

stdlib

A standard library for JavaScript and Node.js, with an emphasis on numeric computing. The library provides a collection of robust, high performance libraries for mathematics, statistics, streams, utilities, and more.

sylvester

Vector and Matrix math for JavaScript. **[Deprecated]**

Pipcook

A JavaScript application framework for machine learning and its engineering.

The Bot

Example of how the neural network learns to predict the angle between two points created with [Synaptic](https://github.com/cazala/synaptic).

MachineLearning

Julia Machine Learning library. **[Deprecated]**

MLBase

A set of functions to support the development of machine learning algorithms.

Online Learning

**[Deprecated]**

Pebl

Python Environment for Bayesian Learning. **[Deprecated]**

Theano

Optimizing GPU-meta-programming code generating array oriented optimizing math compiler in Python.

pydeep

Deep Learning In Python. **[Deprecated]**

Atari2600

Scripts to generate a dataset with static frames from the Arcade Learning Environment.

Machine Learning Module

Class on machine w/ PDF, lectures, code

Pattern Recognition Toolbox

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

Pattern Recognition and Machine Learning

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

MXNet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Go, JavaScript and more.

Machine Learning in MatLab/Octave

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

retinaface

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

dockerface

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

detectron2

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.

albumentations

А fast and framework agnostic image augmentation library that implements a diverse set of augmentation techniques. Supports classification, segmentation, detection out of the box. Was used to win a number of Deep Learning competitions at Kaggle, Topcoder and those that were a part of the CVPR worksh

PyTorchCV

A PyTorch-Based Framework for Deep Learning in Computer Vision.

Self-supervised learning

Self-supervised learning - Python

MLX

MLX is an array framework for machine learning on Apple silicon, developed by Apple machine learning research.

Pattern

A web mining module for the Python programming language. It has tools for natural language processing, machine learning, among others.

BioPy

Biologically-Inspired and Machine Learning Algorithms in Python. **[Deprecated]**

handsonml

Fundamentals of machine learning in python.

SVM Explorer

Interactive SVM Explorer, using Dash and scikit-learn

Rasa

A "machine learning framework to automate text-and voice-based conversations."

Transformers

A deep learning library containing thousands of pre-trained models on different tasks. The goto place for anything related to Large Language Models.

ChemicalX

> A PyTorch based deep learning library for drug pair scoring

Microsoft ML for Apache Spark

> A distributed machine learning framework Apache Spark

Shapley

> A data-driven framework to quantify the value of classifiers in a machine learning ensemble.

igel

> A delightful machine learning tool that allows you to train/fit, test and use models **without writing code**

PyTorch Frame

> A Modular Framework for Multi-Modal Tabular Learning.

PyTorch Geometric Temporal

> A temporal extension of PyTorch Geometric for dynamic graph representation learning.

Karate Club

> An unsupervised machine learning extension library for NetworkX with a Scikit-Learn like API.

PyOD

> Python Outlier Detection, comprehensive and scalable Python toolkit for detecting outlying objects in multivariate data. Featured for Advanced models, including Neural Networks/Deep Learning and Outlier Ensembles.

steppy

> Lightweight, Python library for fast and reproducible machine learning experimentation. Introduces a very simple interface that enables clean machine learning pipeline design.

steppy-toolkit

> Curated collection of the neural networks, transformers and models that make your machine learning work faster and more effective.

Couler

Unified interface for constructing and managing machine learning workflows on different workflow engines, such as Argo Workflows, Tekton Pipelines, and Apache Airflow.

einops

Deep learning operations reinvented (for pytorch, tensorflow, jax and others).

machine learning

automated build consisting of a [web-interface](https://github.com/jeff1evesque/machine-learning#web-interface), and set of [programmatic-interface](https://github.com/jeff1evesque/machine-learning#programmatic-interface) API, for support vector machines. Corresponding dataset(s) are stored into a S