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code-review-skill. A comprehensive code review skill for Claude Code, covering React 19, Vue 3, Rust, TypeScript, TanStack Query v5, and more.
★ 1.4kcc-haha. 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)
★ 13kcua. Open-source infrastructure for Computer-Use Agents. Sandboxes, SDKs, and benchmarks to train and evaluate AI agents that can control full desktops (macOS, Linux, Windows).
★ 20kopen-codex-computer-use. 👾 Open Computer Use – Open-Source Alternative to Codex Computer Use
★ 1.4kglm-coding-helper. 智谱 GLM Coding Plan 抢购助手,一键抢购油猴脚本 ,本地 CPU/GPU OCR 自动识别 中文点选验证码,支持多窗口并发、限流重试和支付页保护
★ 614taste-skill. Taste-Skill - gives your AI good taste. stops the AI from generating boring, generic slop
★ 62ksuperpowers. An agentic skills framework & software development methodology that works.
★ 252kMoneyPrinterTurbo. 利用AI大模型,一键生成高清短视频 Generate short videos with one click using AI LLM.
★ 97kCodexPlusPlus. An enhanced tool for CodexApp, striving to make Codex better to use and more comfortable 一个CodexApp的增强工具,努力让Codex变得更好用更舒服
★ 25kCola-DLM. The codebase of Cola DLM
★ 247andrej-karpathy-skills. A single CLAUDE.md file to improve Claude Code behavior, derived from Andrej Karpathy's observations on LLM coding pitfalls.
★ 191kAiMaMi. 为OpenAI Codex打造的桌面伴侣。
★ 1.3kglm-coding-sniper. 智谱 GLM Coding Plan 自动抢购脚本 (Tampermonkey + Console)
★ 85glm-coding-grabber. Tampermonkey userscript: 智谱 GLM Coding Plan 定时自动抢购助手 (服务器时间对齐 + DOM 监听 + 自动点击)
★ 6claude-code-best-practice. from vibe coding to agentic engineering - practice makes claude perfect
★ 62kpaseo. Orchestrate multiple coding agents from desktop and mobile
★ 10kUniGRec. Official implementation of "UniGRec: Unified Generative Recommendation with Soft Identifiers for End-to-End Optimization"
★ 13MiniOneRec. Minimal reproduction of OneRec
★ 1.7kawesome-openclaw-skills. The awesome collection of OpenClaw skills. 5,400+ skills filtered and categorized from the official OpenClaw Skills Registry.🦞
★ 51kopenclaw. Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞
★ 383kRecBole. A unified, comprehensive and efficient recommendation library
★ 4.5kETEGRec. [SIGIR'25] Code of "Generative Recommender with End-to-End Learnable Item Tokenization".
★ 36ETEGRec. [SIGIR'25] Code of "Generative Recommender with End-to-End Learnable Item Tokenization".
★ 40ai-hedge-fund. An AI Hedge Fund Team
★ 61kTIGER. [Pytorch] Unofficial Implementation of "Recommender Systems with Generative Retrieval"
★ 244RQ-VAE-Recommender. [Pytorch] Generative retrieval model using semantic IDs from "Recommender Systems with Generative Retrieval"
★ 823TIGER. The implementation for the work "Recommender Systems with Generative Retrieval".
★ 21SASRec.pytorch. PyTorch(1.6+) implementation of https://github.com/kang205/SASRec
★ 606generative-recommenders. Repository hosting code for "Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations" (https://arxiv.org/abs/2402.17152).
★ 1.9kRecommenderSystem.
★ 4.1kGRID. GRID: Generative Recommendation with Semantic IDs
★ 714Book1_Python-For-Beginners. Book_1_《编程不难》 | 鸢尾花书:从加减乘除到机器学习;请多多批评指正!
★ 7.1kunsloth. Unsloth Studio is a web UI for training and running open models like Gemma 4, Qwen3.6, DeepSeek, gpt-oss locally.
★ 68kOpenRLHF. An Easy-to-use, Scalable and High-performance Agentic RL Framework based on Ray (PPO & DAPO & REINFORCE++ & VLM & TIS & vLLM & Ray & Async RL)
★ 9.8kunlock-deepseek. DeepSeek 系列工作解读、扩展和复现。
★ 732GRPO-Zero. Implementing DeepSeek R1's GRPO algorithm from scratch
★ 1.9koat. 🌾 OAT: A research-friendly framework for LLM online alignment, including reinforcement learning, preference learning, etc.
★ 664TinyZero. Minimal reproduction of DeepSeek R1-Zero
★ 13ksimpleRL-reason. Simple RL training for reasoning
★ 3.9kVisualThinker-R1-Zero. Explore the Multimodal “Aha Moment” on 2B Model
★ 624awesome-LLM-resources. 🧑🚀 全世界最好的LLM资料总结(多模态生成、Agent、辅助编程、AI审稿、数据处理、模型训练、模型推理、o1 模型、MCP、小语言模型、视觉语言模型) | Summary of the world's best LLM resources.
★ 8.7kHands-On-Large-Language-Models. Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
★ 27kllm-universe. 本项目是一个面向小白开发者的大模型应用开发教程,在线阅读地址:https://datawhalechina.github.io/llm-universe/
★ 13kllm-course. Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
★ 81kso-large-lm. 大模型基础: 一文了解大模型基础知识
★ 7.5kTime-Series-Library. A Library for Advanced Deep Time Series Models for General Time Series Analysis.
★ 13kself-llm. 《开源大模型食用指南》针对中国宝宝量身打造的基于Linux环境快速微调(全参数/Lora)、部署国内外开源大模型(LLM)/多模态大模型(MLLM)教程
★ 31k