Stars
Blockchain explorer for Ethereum based network and a tool for inspecting and analyzing EVM based blockchains.
The absolute most basic example of AlphaZero and Monte Carlo Tree Search I could come up with
[ICML 2021] DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning | 斗地主AI
A variety of intelligent search algorithms visually restore the 3D Magic Cube
Drop in a screenshot and convert it to clean code (HTML/Tailwind/React/Vue)
🛠 Pytorch lightweight Captcha Solver, Over 98% accuracy
Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable…
Text-to-3D & Image-to-3D & Mesh Exportation with NeRF + Diffusion.
Track-Anything is a flexible and interactive tool for video object tracking and segmentation, based on Segment Anything, XMem, and E2FGVI.
An open-source PAM tool alternative to CyberArk. 广受欢迎的开源堡垒机。
High-performance In-browser LLM Inference Engine
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.
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Z-Bench 1.0 by 真格基金:一个麻瓜的大语言模型中文测试集。Z-Bench is a LLM prompt dataset for non-technical users, developed by an enthusiastic AI-focused team in Zhenfund.
An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.
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
ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型
Running large language models on a single GPU for throughput-oriented scenarios.
Code and documentation to train Stanford's Alpaca models, and generate the data.
OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.