Machine learning

A general classifier module to allow Bayesian and LSI classifications.

Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.

NLTK Source

DIPY is the paragon 3D/4D+ medical imaging library in Python. Contains generic methods for spatial normalization, signal processing, machine learning, statistical analysis and visualization of medical images. Additionally, it contains specialized methods for computational anatomy including diffusion, perfusion and structural imaging.

Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.

Workflows and interfaces for neuroimaging packages

scikit-learn: machine learning in Python

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

Visualizer for neural network, deep learning and machine learning models

MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python

matplotlib: plotting with Python

The Julia Programming Language

Linked Data Visualizations Across Multiple Files

Statsmodels: statistical modeling and econometrics in Python

Nmap - the Network Mapper. Github mirror of official SVN repository.

A platform for end-to-end development of machine learning solutions in biomedical imaging

A command-line tool to extract plain text from Wikipedia dumps with category and section filtering

Statistical data visualization in Python

Open Source Computer Vision Library

A machine learning software for extracting information from scholarly documents

PyMuPDF is a high performance Python library for data extraction, analysis, conversion & manipulation of PDF (and other) documents.

OpenRefine is a free, open source power tool for working with messy data and improving it

Alluxio, data orchestration for analytics and machine learning in the cloud

🔩 Like builtins, but boltons. 250+ constructs, recipes, and snippets which extend (and rely on nothing but) the Python standard library. Nothing like Michael Bolton.

A Python library for creating and simulating large-scale brain models

Python Data. Leaflet.js Maps.

The fastest path to AI-powered full stack observability, even for lean teams.

The official repository for ROOT: analyzing, storing and visualizing big data, scientifically

A data management platform for the web, developed by Kitware

Data Analysis program and framework for materials science data analytics, based on the managing framework SIMPL framework.

oj! Algorithms

OpenCV wrapper for .NET

Jenetics - Genetic Algorithm, Genetic Programming, Grammatical Evolution, Evolutionary Algorithm, and Multi-objective Optimization

A toolkit for making real world machine learning and data analysis applications in C++

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

HomeGenie: The Programmable Intelligence with 100% Local Agentic AI.

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

Machine Learning、Deep Learning、PostgreSQL、Distributed System、Node.Js、Golang

A common, beautiful interface to tabular data, no matter the format

💫 Industrial-strength Natural Language Processing (NLP) in Python

A curated list of awesome big data frameworks, ressources and other awesomeness.

An open source cybersecurity protocol for syncing decentralized graph data.

Tesseract Open Source OCR Engine (main repository)

Core tools required for running Canlab Matlab toolboxes. The heart of this toolbox is object-oriented tools that enable interactive analysis of neuroimaging data and simple scripts using high-level commands tailored to neuroimaging analysis.

Library for specialized dense and sparse matrix operations, and deep learning primitives.

ChatterBot is a machine learning, conversational dialog engine for creating chat bots

Everything you need to add AI-driven ID scanning into your native Android app.

Statistical Machine Intelligence & Learning Engine

mlpack: a fast, header-only C++ machine learning library

A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.

A C library for parsing/normalizing street addresses around the world. Powered by statistical NLP and open geo data.

Deep Learning for humans

Framework for setting up predictive analytics services

a distributed deep learning platform

Rich MySQL Terminal Client with AutoCompletion, Syntax Highlighting, and Dataframes

Data Apps & Dashboards for Python. No JavaScript Required.

Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

Machine learning for multivariate data through the Riemannian geometry of positive definite matrices in Python

A high performance implementation of HDBSCAN clustering.

Pure Javascript OCR for more than 100 Languages 📖🎉🖥

Apache Superset is a Data Visualization and Data Exploration Platform

Face recognition with deep neural networks.

LabPlot is a FREE, open source and cross-platform Data Visualization and Analysis software accessible to everyone.

Machine Learning powered Secure Websocket & MQTT based ZoneMinder event notification server

A curated list for awesome kubernetes sources :ship::tada:

A Python toolkit for pathology image analysis algorithms.

An Open Source Machine Learning Framework for Everyone

Optimized primitives for collective multi-GPU communication

:book: A curated list of resources dedicated to Natural Language Processing (NLP)

Slips, a free software behavioral Python intrusion prevention system (IDS/IPS) that uses machine learning to detect malicious behaviors in the network traffic. Stratosphere Laboratory, AIC, FEL, CVUT in Prague.

XGo is a programming language that reads like plain English. But it's also incredibly powerful — it lets you leverage assets from C/C++, Go, Python, and JavaScript/TypeScript, creating a unified software engineering ecosystem. Our vision is to enable everyone to become a builder of the world.

A flexible, high-performance serving system for machine learning models

A list of useful Java frameworks, libraries, software and hello worlds examples

ConvoKit is a toolkit for extracting conversational features and analyzing social phenomena in conversations. It includes several large conversational datasets along with scripts exemplifying the use of the toolkit on these datasets.

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

:sunglasses: A curated list of robotics libraries and software

Image annotation with Python. Supports polygon, rectangle, circle, line, point, and AI-assisted annotation.

oneAPI Deep Neural Network Library (oneDNN)

Lineage metadata API, artifacts streams, sandbox, API, and spaces for Polyaxon

R interface for Apache Spark

R Weekly

Extração de dados da API do CartolaFC, análise exploratória dos dados e modelos preditivos em R e Python - 2014-22. [EN] Data munging, analysis and modeling of CartolaFC - the most popular fantasy football game in Brazil. Data cover years 2014-23.

The AI search platform

The RWTH extensible training framework for universal recurrent neural networks

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

Video and Image Analytics for Multiple Environments

List of telegram groups, channels & bots // Список интересных групп, каналов и ботов телеграма // Список чатов для программистов

Tensors and Dynamic neural networks in Python with strong GPU acceleration

PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）

Statistical Inference via Data Science: A ModernDive into R and the Tidyverse

邱锡鹏《神经网络与深度学习》第二版与通识版：电子书、章节目录、学习资源与勘误。

A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.

P2Rank: Protein-ligand binding site prediction from protein structure based on machine learning.

Various Algorithms for Short Text Mining

Open Machine Learning Compiler Framework

PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.

💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants

:cloud: :rocket: :bar_chart: :chart_with_upwards_trend: Evaluating state of the art in AI

List of Computer Science courses with video lectures.

A Curated List of Computational Biology Datasets Suitable for Machine Learning