Bash is all you need - A nano claude code–like 「agent harness」, built from 0 to 1
- agent
- claude-code
- teaching
- agent-development
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Bash is all you need - A nano claude code–like 「agent harness」, built from 0 to 1
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
A visual, example-driven guide to Claude Code — from basic concepts to advanced agents, with copy-paste templates that bring immediate value.
What the f*ck Python? 😱
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
A collection of projects showcasing RAG, agents, workflows, and other AI use cases
TranslatedLlama Chinese community: compiles the latest Llama learning materials in real time and builds the best open-source ecosystem of Chinese Llama large models, fully open source and commercially usable
Pocket Flow: Codebase to Tutorial
TranslatedAirport recommendations, Clash / V2ray client configuration, and proxy tool guides
An educational resource to help anyone learn deep reinforcement learning.
TranslatedSimple Reinforcement learning tutorials, 莫烦Python (Mofan Python, "don't be annoyed Python") Chinese AI teaching
A collection of machine learning examples and tutorials.
A resource for learning about Machine learning & Deep Learning
TranslatedA tutorial and implement of disease centered Medical knowledge graph and qa system based on it. Knowledge graph construction, automatic question answering, KG-based automatic question answering. A medium-scale medical-domain knowledge graph centered on diseases, which is used to provide automatic question answering and analysis services.
TranslatedClaude Code + OpenClaw + Codex + WorkBuddy Chinese tutorials | 50 complete tutorials + 1 quick reference card | 800,000+ characters of content | 1,500+ hands-on examples | AI Coding / Agent four-track learning path (programming + assistant + Agent + office work)
The most comprehensive Claude Code guide: agentic workflows, hooks, skills, MCP servers, quizzes, and production-ready templates. 430K+ lines.
Translated🚀 The most systematic crash course on AI Agents in 2026 | Agent hands-on tutorial · Complete learning path + hands-on projects + interview question bank · Aligned with LLM application development engineer job roles · Covers LangChain / LangGraph / Coze / Dify / MCP / skills / LLM / RAG / prompts · Enterprise-grade deployment and fine-tuning · From 0 to enterprise-level implementation + from learning to launching projects + interview preparation, all in one
Translated🌟100+ original LLM / RL algorithm diagrams📚, a great gift from the author of 《大模型算法》 (Large Model Algorithms)! 💥 (100+ LLM/RL Algorithm Maps)
Claude Code Guide - Setup, Commands, workflows, agents, skills & tips-n-tricks from beginner to power user!
Examples and tutorials to help developers build AI systems
Full Stack Web Development with Flask.
Best practice and tips & tricks to write scientific papers in LaTeX, with figures generated in Python or Matlab.
Amazon Bedrock Agentcore accelerates AI agents into production with the scale, reliability, and security, critical to real-world deployment.
0 - 1 learn OpenClaw: sections to build an claw-AI agent from scratch