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"CLI-Anything: Making ALL Software Agent-Native" -- CLI-Hub: https://clianything.cc/
An in-the-wild benchmark for AI agents in the OpenClaw Environment.
Claude Code 泄露源码 - 本地可运行版本，新增跨平台桌面端软件补齐Computer Use（附带核心模块解析）
Open-source benchmark for browser AI agents on daily tasks.
The agent that grows with you
Persistent file-based planning for AI coding agents and long-running agentic tasks. Crash-proof markdown plans that survive context loss and /clear, plus a deterministic completion gate and multi-a…
[EMNLP 2025 Demo] PDF scientific paper translation with preserved formats - 基于 AI 完整保留排版的 PDF 文档全文双语翻译，支持 Google/DeepL/Ollama/OpenAI 等服务，提供 CLI/GUI/MCP/Docker/Zotero
An Efficient and User-Friendly Scaling Library for Reinforcement Learning with Large Language Models
Use PEFT or Full-parameter to CPT/SFT/DPO/GRPO 600+ LLMs (Qwen3.6, DeepSeek-V4, GLM-5.1, InternLM3, Llama4, ...) and 300+ MLLMs (Qwen3-VL, Qwen3-Omni, InternVL3.5, Ovis2.5, GLM4.5v, Gemma4, Llava, …
🚀 The fast, Pythonic way to build MCP servers and clients.
[IEEE T-PAMI] Awesome-Efficient-Inference-for-LRMs is a collection of state-of-the-art, novel, exciting, token-efficient methods for Large Reasoning Models (LRMs). It contains papers, codes, datase…
Search-R1: An Efficient, Scalable RL Training Framework for Reasoning & Search Engine Calling interleaved LLM based on veRL
[ICML 2026]A Large-scale Dataset for training and evaluating model's ability on Dense Text Image Generation
👀「大模型」2小时从0训练65M参数的视觉多模态VLM！Train a 65M-parameter VLM from scratch in just 2h!
Fully open reproduction of DeepSeek-R1
[ICLR Workshop 2025] An official source code for paper "GuardReasoner: Towards Reasoning-based LLM Safeguards".
[NeurIPS 2024]GSDF: 3DGS Meets SDF for Improved Rendering and Reconstruction
This is a collective repository for all 3DGS related progresses in research and industry world
official implementation of LM-Gaussian
A collection of papers on neural field-based inverse rendering.
[ICLR & NeurIPS 2025] Repository for Show-o series, One Single Transformer to Unify Multimodal Understanding and Generation.
[CVPR 2024] Code for SC-GS: Sparse-Controlled Gaussian Splatting for Editable Dynamic Scenes
Awesome-Jailbreak-on-LLMs is a collection of state-of-the-art, novel, exciting jailbreak methods on LLMs. It contains papers, codes, datasets, evaluations, and analyses.