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🚀 Accelerate inference and training of 🤗 Transformers, Diffusers, TIMM and Sentence Transformers with easy to use hardware optimization tools

TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/

Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2

Distilabel is a framework for synthetic data and AI feedback for engineers who need fast, reliable and scalable pipelines based on verified research papers.

MTEB: State-of-the-art evaluation of embeddings across languages and modalities

Semantic version control => entity-level diffs, blame, and impact analysis on top of git. 28 languages via tree-sitter. Built for coding agents.

A streamlined and customizable framework for efficient large model (LLM, VLM, AIGC) evaluation and performance benchmarking.

Build production-ready AI agents in both Python and Typescript.

II-Agent: a new open-source framework to build and deploy intelligent agents

Run Claude Code 100% on-device with local AI on Apple Silicon. MLX-native Anthropic-API server. 6 fighters incl. Muse-Glimmer 30B (now multimodal — reads images, abliterated), Gemma 4 31B, Qwen 3.5 122B (65 tok/s), DeepSeek V4 Flash (1M ctx). Private, offline, airgap-ready. Built for NDA / legal / healthcare workflows.

Freeing data processing from scripting madness by providing a set of platform-agnostic customizable pipeline processing blocks.

Leaderboard Comparing LLM Performance at Producing Hallucinations when Summarizing Short Documents

Scalable and efficient data transformation framework - backwards compatible with dbt.

RAG Web UI is an intelligent dialogue system based on RAG (Retrieval-Augmented Generation) technology.

JAX-based neural network library

🕹️ Open-source, developer-first LLMOps platform designed to streamline prompt design, version management, instant delivery, collaboration, troubleshooting, observability and more.

Dead simple FLUX LoRA training UI with LOW VRAM support

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

Stateful agents that are like people, with memory, identity, and the ability to learn and adapt

Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods

Cortex - Generates interactive API documentation, typed SDKs, and MCP servers from OpenAPI, AsyncAPI, GraphQL, gRPC, OpenRPC, and Markdown.

The Security Toolkit for LLM Interactions

llama.cpp fork with additional SOTA quants and improved performance

OneTrainer is a one-stop solution for all your Diffusion training needs.

Fast, Accurate, Lightweight Python library to make State of the Art Embedding

Bonsai Demo

Skywork-R1V is an advanced multimodal AI model series developed by Skywork AI, specializing in vision-language reasoning.

Playwright that anti-bots cannot see, so no captchas: same API, anti-detect stealth headless Firefox, undetected fingerprint, bypass bot detection, Python web scraping and browser automation.

🦜💬 Web app for interacting with any LangGraph agent (PY & TS) via a chat interface.

[NeurIPS 2024] OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments