Best Open Source AI Framework Projects

The AI that really does things. Any OS. Any Platform. The lobster way. 🦞

Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.

An Open Source Machine Learning Framework for Everyone

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or self-hosted, so teams move from prototype to production without rebuilding the stack.

💫 Toolkit to help you get started with SDD or any other process!

Turn any codebase, with its docs, SQL schemas, configs, and PDFs, into a queryable knowledge graph. A /graphify skill for Claude Code, Cursor, Codex, and Gemini CLI: local deterministic AST parsing, every edge explained, no vector store.

Tensors and Dynamic neural networks in Python with strong GPU acceleration

real time face swap and one-click video deepfake with only a single image

A collection of MCP servers.

Open Source Computer Vision Library

Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages.

List of Computer Science courses with video lectures.

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

Tesseract Open Source OCR Engine (main repository)

The Patterns of Scalable, Reliable, and Performant Large-Scale Systems

🕷️ An adaptive Web Scraping framework that handles everything from a single request to a full-scale crawl!

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

scikit-learn: machine learning in Python

Deep Learning for humans

Spec-driven development (SDD) for AI coding assistants.

Ultralytics YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking

Ultralytics YOLOv5 in PyTorch for object detection, instance segmentation, classification, training, and export.

The world's simplest facial recognition api for Python and the command line

Deepfakes Software For All

🧠「大模型」2小时完全从0训练64M的小参数LLM！Train a 64M-parameter LLM from scratch in just 2h!

12 Weeks, 24 Lessons, AI for All!

LlamaIndex is the leading document agent and OCR platform

The Julia Programming Language

We write your reusable computer vision tools. 💜

A community-supported supercharged document management system: scan, index and archive all your documents

AI-Powered Photos App 🌈💎✨

Pure Javascript OCR for more than 100 Languages 📖🎉🖥

Google Research

A Python library for extracting structured information from unstructured text using LLMs with precise source grounding and interactive visualization.

500 AI Machine learning Deep learning Computer vision NLP Projects with code

Cross-platform, customizable ML solutions for live and streaming media.

High-performance code intelligence MCP server. Indexes codebases into a persistent knowledge graph — average repo in milliseconds. 158 languages, sub-ms queries, 99% fewer tokens. Single static binary, zero dependencies.

Playwright MCP server

Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.

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

A next.js web application that integrates AI capabilities with draw.io diagrams. This app allows you to create, modify, and enhance diagrams through natural language commands and AI-assisted visualization.

Visualizer for neural network, deep learning and machine learning models

Official, Anthropic-managed directory of high quality Claude Code Plugins.

An AI prompt optimizer for writing better prompts and getting better AI results.

GitHub's official MCP Server

Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.

:memo: An awesome Data Science repository to learn and apply for real world problems.

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

Deezer source separation library including pretrained models.