Stars
Turn (almost) any Python command line program into a full GUI application with one line
Xiaomi Home Integration for Home Assistant
Educational framework exploring ergonomic, lightweight multi-agent orchestration. Managed by OpenAI Solution team.
Fast and memory-efficient exact attention
SGLang is a fast serving framework for large language models and vision language models.
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
🤗 LeRobot: Making AI for Robotics more accessible with end-to-end learning
gpt-oss-120b and gpt-oss-20b are two open-weight language models by OpenAI
Letta is the platform for building stateful agents: open AI with advanced memory that can learn and self-improve over time.
Faster Whisper transcription with CTranslate2
SWE-agent takes a GitHub issue and tries to automatically fix it, using your LM of choice. It can also be employed for offensive cybersecurity or competitive coding challenges. [NeurIPS 2024]
Datasets, Transforms and Models specific to Computer Vision
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
Train transformer language models with reinforcement learning.
A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
Machine Learning Engineering Open Book
Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.
Translate the video from one language to another and add dubbing.
🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org
FauxPilot - an open-source alternative to GitHub Copilot server
Qwen3-Coder is the code version of Qwen3, the large language model series developed by Qwen team, Alibaba Cloud.
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.