坚持分享 GitHub 上高质量、有趣实用的开源技术教程、开发者工具、编程网站、技术资讯。A list cool, interesting projects of GitHub.

InstantStyle: Free Lunch towards Style-Preserving in Text-to-Image Generation 🔥

[CVPR 2024] This is the official source for our paper "SyncTalk: The Devil is in the Synchronization for Talking Head Synthesis"

Experimental use of stable-video-diffusion in ComfyUI

Drop in a screenshot and convert it to clean code (HTML/Tailwind/React/Vue)

Official implementation of OOTDiffusion: Outfitting Fusion based Latent Diffusion for Controllable Virtual Try-on

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

[NeurIPS 2023] MotionGPT: Human Motion as a Foreign Language, a unified motion-language generation model using LLMs

为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, m…

AI chatbot 🤖 for chat with CSV, PDF, TXT files 📄 and YTB videos 🎥 | using Langchain🦜 | OpenAI | Streamlit ⚡

Code to accompany "A Method for Animating Children's Drawings of the Human Figure"

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.

SMSBoom - Deprecate: Due to judicial reasons, the repository has been suspended!

Tools to load, process and visualize motion capture data

Make human motion capture easier.

🦄 Record your terminal and generate animated gif images or share a web player

刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.

Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.

《Reinforcement Learning: An Introduction》（第二版）中文翻译

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

A library for machine learning research on motion capture data

Motion imitation with deep reinforcement learning.

OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

Demo code for Horikawa and Kamitani (2017) Generic decoding of seen and imagined objects using hierarchical visual features. Nat Commun https://www.nature.com/articles/ncomms15037.