Stars
🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org
Minimal Claude Code alternative. Single Python file, zero dependencies, ~250 lines.
The 100 line AI agent that solves GitHub issues or helps you in your command line. Radically simple, no huge configs, no giant monorepo—but scores >74% on SWE-bench verified!
Scalable RL solution for advanced reasoning of language models
A PyTorch library for implementing flow matching algorithms, featuring continuous and discrete flow matching implementations. It includes practical examples for both text and image modalities.
first base model for full-duplex conversational audio
Simple Conditional Flow Matching in MLX with ODE Solvers
Very low latency speech to text, intent recognition, and text to speech, for building voice agents and interfaces
Minimal implementation of scalable rectified flow transformers, based on SD3's approach
[ICLR 2025] Official Repository for "Tamper-Resistant Safeguards for Open-Weight LLMs"
tiny_fnc_engine is a minimal python library that provides a flexible engine for calling functions extracted from a LLM.
Code for NeurIPS 2024 Spotlight: "Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations"
Fast BM25 search in Python, powered by Numpy and Numba
Lightplane implements a highly memory-efficient differentiable radiance field renderer, and a module for unprojecting features from images to 3D grids.
A JAX research toolkit for building, editing, and visualizing neural networks.
A subset of PyTorch's neural network modules, written in Python using OpenAI's Triton.
A fast implementation of T5/UL2 in PyTorch using Flash Attention