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https://www.tsinghua.edu.cn/
Highlights
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Stars
An opinionated list of awesome Python frameworks, libraries, software and resources.
Stable Diffusion web UI
Robust Speech Recognition via Large-Scale Weak Supervision
The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.
Use ChatGPT to summarize the arXiv papers. 全流程加速科研,利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
AI Native Data App Development framework with AWEL(Agentic Workflow Expression Language) and Agents
Awesome pre-trained models toolkit based on PaddlePaddle. (400+ models including Image, Text, Audio, Video and Cross-Modal with Easy Inference & Serving)
A Flexible Framework for Experiencing Cutting-edge LLM Inference Optimizations
🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support
An elegant PyTorch deep reinforcement learning library.
Automated Machine Learning with scikit-learn
A Collection of Variational Autoencoders (VAE) in PyTorch.
An interactive NVIDIA-GPU process viewer and beyond, the one-stop solution for GPU process management.
PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
Massively Parallel Deep Reinforcement Learning. 🔥
A high-performance distributed training framework for Reinforcement Learning
Unified framework for robot learning built on NVIDIA Isaac Sim
A high-performance Python-based I/O system for large (and small) deep learning problems, with strong support for PyTorch.
Community for applying LLMs to robotics and a robot simulator with ChatGPT integration
A collection of high-quality models for the MuJoCo physics engine, curated by Google DeepMind.
An offline deep reinforcement learning library
Type annotations and runtime checking for shape and dtype of JAX/NumPy/PyTorch/etc. arrays. https://docs.kidger.site/jaxtyping/
An autoML framework & toolkit for machine learning on graphs.
Open-source codebase for EfficientZero, from "Mastering Atari Games with Limited Data" at NeurIPS 2021.
Really Fast End-to-End Jax RL Implementations