Stars
Data Labeling, Tracking and Annotation with AI
Stable Diffusion web UI
Streamlit — A faster way to build and share data apps.
A Gradio web UI for Large Language Models.
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
Caption-Anything is a versatile tool combining image segmentation, visual captioning, and ChatGPT, generating tailored captions with diverse controls for user preferences. https://huggingface.co/sp…
The official code of our ICRA'24 paper Crossway Diffusion: Improving Diffusion-based Visuomotor Policy via Self-supervised Learning
[RSS 2023] Diffusion Policy Visuomotor Policy Learning via Action Diffusion
Neo4j graph construction from unstructured data using LLMs
A framework for Claude Opus to intelligently orchestrate subagents.
Track-Anything is a flexible and interactive tool for video object tracking and segmentation, based on Segment Anything, XMem, and E2FGVI.
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.
强化学习中文教程（蘑菇书🍄），在线阅读地址：https://datawhalechina.github.io/easy-rl/
Source codes for the book "Reinforcement Learning: Theory and Python Implementation"
Game Agent Framework. Helping you create AIs / Bots that learn to play any game you own!
程序员在家做饭方法指南。Programmer's guide about how to cook at home (Simplified Chinese only).
Python toolkit for quantitative finance
18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gan…
Collection of publicly available IPTV channels from all over the world
GLIDE: a diffusion-based text-conditional image synthesis model
Waypoint-Based Imitation Learning for Robotic Manipulation
A large-scale benchmark and learning environment.
Python Multi-Agent Reinforcement Learning framework
Visualize streams of multimodal data. Fast, easy to use, and simple to integrate. Built in Rust using egui.
Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"
A library of reinforcement learning components and agents