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Browse 200 Hugging Bay artifacts for Repository, including 0 Hugging Face imports and 0 hosted files.
- mlabonne/llm-course Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
- helloianneo/ian-xiaohei-illustrations 中文小黑怪诞正文配图生成 Skill | 16:9 白底手绘 | 少量红橙蓝批注 | Codex Skill
- mahseema/awesome-ai-tools A curated list of Artificial Intelligence Top Tools
- kimyx0207/ai-coding-guide-zh Claude Code + OpenClaw + Codex 中文教程 | 39篇完整教程 + 1张速查卡 | 80万+内容量 | 1500+实操示例 | AI Coding / Agent 三线学习路径
- filipecalegario/awesome-vibe-coding A curated list of vibe coding references, collaborating with AI to write code.
- alexanys/awesome-openclaw-usecases-zh 🇨🇳 OpenClaw中文用例大全 | 50个真实场景 | 国内特色 + 海外案例的国内适配 | 自动化办公·内容创作·运维·AI助理·知识管理 | 新手友好
- huaizhengzhang/ai-infra-from-zero-to-hero 🚀 Awesome System for Machine Learning ⚡️ AI System Papers and Industry Practice. ⚡️ System for Machine Learning, LLM (Large Language Model), GenAI (Generative AI). 🍻 OSDI, NSDI, SIGCOMM, SoCC, MLSys, etc. 🗃️ Llama3, M
- wethinkin/aigc-interview-book 【三年面试五年模拟】AIGC/LLM/AI Agent算法工程师面试秘籍。涵盖AIGC、LLM大模型、AI Agent、传统深度学习、自动驾驶、机器学习、计算机视觉、自然语言处理、强化学习、大数据挖掘、具身智能、元宇宙、AGI等AI行业面试笔试干货经验与核心知识。
- killop/anything-about-game A wonderful list of Game Development resources.
- windy3f3f3f3f/how-claude-code-works Deep dive into Claude Code internals — architecture, agent loop, context engineering, and more. / 深入解析 Claude Code 源码：架构、Agent 循环、上下文工程、工具系统等
- xnhyacinth/awesome-llm-long-context-modeling 📰 Must-read papers and blogs on LLM based Long Context Modeling 🔥
- onejune2018/awesome-llm-eval Awesome-LLM-Eval: a curated list of tools, datasets/benchmark, demos, leaderboard, papers, docs and models, mainly for Evaluation on LLMs. 一个由工具、基准/数据、演示、排行榜和大模型等组成的精选列表，主要面向基础大模型评测，旨在探求生成式AI的技术边界.
- chrisliu298/awesome-llm-unlearning A resource repository for machine unlearning in large language models
- thu-keg/evaluationpapers4chatgpt Resource, Evaluation and Detection Papers for ChatGPT
- onyx-dot-app/enterpriserag-bench Dataset and benchmark for RAG on company internal documents.
- hbaniecki/adversarial-explainable-ai 💡 Adversarial attacks on explanations and how to defend them
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