AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

Stable Diffusion web UI

分享 GitHub 上有趣、入门级的开源项目。Share interesting, entry-level open source projects on GitHub.

🦜🔗 The platform for reliable agents.

Robust Speech Recognition via Large-Scale Weak Supervision

Animation engine for explanatory math videos

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。

Inference code for Llama models

Interact with your documents using the power of GPT, 100% privately, no data leaks

The definitive Web UI for local AI, with powerful features and easy setup.

High-Resolution Image Synthesis with Latent Diffusion Models

Making large AI models cheaper, faster and more accessible

The best ChatGPT that $100 can buy.

PyTorch Tutorial for Deep Learning Researchers

Code and documentation to train Stanford's Alpaca models, and generate the data.

deep learning for image processing including classification and object-detection etc.

JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

Universal LLM Deployment Engine with ML Compilation

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

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

ChatGLM2-6B: An Open Bilingual Chat LLM | 开源双语对话语言模型

Llama中文社区，实时汇总最新Llama学习资料，构建最好的中文Llama大模型开源生态，完全开源可商用

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

A MNIST-like fashion product database. Benchmark 👇

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)

A Library for Advanced Deep Time Series Models for General Time Series Analysis.

🍦 Never use print() to debug again.