Awesome Machine Learning

Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.

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.

Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀

Simple feed-forward neural network in JavaScript

PraisonAI 🦞 — Hire a 24/7 AI Workforce. Stop writing boilerplate and start shipping autonomous self-improving agents that research, plan, code, and execute tasks. Deployed in 5 lines of code with built-in memory, RAG, and support for 100+ LLMs.

Evidently is ​​an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.

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.

architecture-free neural network library for node.js and the browser

Fit interpretable models. Explain blackbox machine learning.

ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution

Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling salesman)

Image processing in Python

A Python wrapper for Google Tesseract

A scikit-learn compatible neural network library that wraps PyTorch

Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.

⚡ Python-free Rust inference server — OpenAI-API compatible. GGUF + SafeTensors, hot model swap, auto-discovery, single binary. FREE now, FREE forever.

A library of extension and helper modules for Python's data analysis and machine learning libraries.

An Engine-Agnostic Deep Learning Framework in Java

A Rust machine learning framework.

The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text.

Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.

Fast data visualization and GUI tools for scientific / engineering applications

Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.

Open Source AI Infra & Engineering Control Plane

OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.

Main repository for Vispy

🛠 All-in-one web-based IDE specialized for machine learning and data science.

Fast, flexible and easy to use probabilistic modelling in Python.

A Scala API for Cascading

Accelerated deep learning R&D

Python Toolkit for Causal and Probabilistic Reasoning

🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models

NumPy and Pandas interface to Big Data

High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.

Shōgun

Rust native ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,...)

StellarGraph - Machine Learning on Graphs

Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies

PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)

Deepnote is a drop-in replacement for Jupyter with an AI-first design, sleek UI, new blocks, and native data integrations. Use Python, R, and SQL locally in your favorite IDE, then scale to Deepnote cloud for real-time collaboration, Deepnote agent, and deployable data apps. https://deepnote.com/

An intuitive library to add plotting functionality to scikit-learn objects.

A modular active learning framework for Python

Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)

Feature engineering and selection open-source Python library compatible with sklearn.

🧠 Make your agents learn from experience. Now available as a hosted solution at kayba.ai

Streaming MapReduce with Scalding and Storm

A toolkit for reproducible reinforcement learning research.

Build, run and scale AI agents like API and microservices - observable,auditable and identity-aware from day one.

Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

Open-source persistent memory for AI agent pipelines (LangGraph, CrewAI, AutoGen) and Claude. REST API + knowledge graph + autonomous consolidation.