Starred repositories
🤗 LeRobot: Making AI for Robotics more accessible with end-to-end learning
🚀 通用 AI IDE 账号管理工具:支持 Antigravity / Codex / GitHub Copilot / Windsurf / Kiro / Cursor / Gemini-cli / CodeBuddy,多账号切换、配额监控、自动唤醒与多开实例管理。 🚀 Universal AI IDE account manager for Antigravity / Codex / …
🥂 Gracefully face hCaptcha challenge with multimodal large language model.
VisualAD: Language-Free Zero-Shot Anomaly Detection via Vision Transformer (CVPR 2026)
Official implementation for AnomalyCLIP (ICLR 2024)
[AAAI 2024 Oral] AnomalyGPT: Detecting Industrial Anomalies Using Large Vision-Language Models
PaddleOCR inference in PyTorch. Converted from [PaddleOCR](https://github.com/PaddlePaddle/PaddleOCR)
Free, local, open-source 24/7 Cowork app for OpenClaw, Hermes Agent, Claude Code, Codex, OpenCode, Gemini CLI and 20+ more CLI | Customize your assistants | Star if you like it!
Not the official LangGraph Rust implementation, but the basic core features are already implemented.
Visual localization made easy with hloc
Instant, Concurrent, Secure & Lightweight Sandbox for AI Agents.
Build smaller, faster, and more secure desktop and mobile applications with a web frontend.
Fast ML inference & training for ONNX models in Rust
Composable, stateful, and streaming AI agent workflows in Rust.
Not the official LangGraph Rust implementation, but good enough.
High-fidelity HTML design and prototype guidance skill for AI agents
Empowering everyone to build reliable and efficient software.
Enterprise-level backend architecture solution with fastapi、sqlalchemy,、celery、pydantic、grafana、docker...
LambChat — Enterprise Agent Infrastructure for governed AI agents. Skills + MCP powered, Loop Agent ready, multi-tenant by design.
All-in-One Sandbox for AI Agents that combines Browser, Shell, File, MCP and VSCode Server in a single Docker container.
🚀 Easier & Faster YOLO Deployment Toolkit for NVIDIA 🛠️
哈喽!龙虾 🙋♀️ Adopt from scratch and build your first claw 🦞 来领养你的第一只龙虾!
注释的nano_vllm仓库,并且完成了MiniCPM4的适配以及注册新模型的功能
Repository for the Explainable Deep One-Class Classification paper
A simple demo of yolov5s running on rk3588/3588s using Python (about 72 frames). / 一个使用Python在rk3588/3588s上运行的yolov5s简单demo(大约72帧/s)。



