Curated List

  • 500 AI Agents Projects

    A curated collection of over 500 AI agent use cases across various industries with links to open-source projects for implementation.

    curated-list ai-agents github-repo open-source
  • Awesome AI Tools

    Curated list of artificial intelligence tools, models, and platforms across the evolving ecosystem.

    curated-list open-source learning github-repo
  • Awesome Opencode

    A curated list of awesome plugins, themes, agents, projects, and resources for Opencode AI coding agent.

    curated-list opencode ai plugins resources open-source
  • Awesome Software Architecture

    Curated list of awesome articles, videos, and other resources to learn and practice software architecture, patterns, and principles.

    curated-list software-architecture learning resources open-source
  • Build Your Own X

    Collection of step-by-step guides to rebuild popular technologies from scratch.

    open-source learning tutorial github-repo
  • Claude Cookbooks

    Collection of notebooks and code snippets showcasing ways to build with Claude for developers.

    ai developers open-source
  • Free LLM API Resources

    A curated list of free large language model inference resources accessible via API.

    llm openai ai
  • LLM Datasets

    Curated list of datasets and tools for post-training large language models focusing on accuracy, diversity, and complexity.

    datasets machine-learning llm
  • Open Source CS

    Curated list of free university courses equivalent to an undergraduate computer science degree.

    curated-list learning resources

Tutorial

  • AI Engineering Hub

    In-depth tutorials on LLMs, RAGs and real-world AI agent applications.

    ai rag agents tutorial open-source
  • Fine-tuning LFM2.5-1.2B-Instruct with GRPO

    Tutorial on fine-tuning LFM2.5-1.2B-Instruct with GRPO and Unsloth for structured data extraction from OCR text.

    tutorial fine-tuning reinforcement-learning llm
  • RAG Techniques

    Comprehensive collection of advanced Retrieval-Augmented Generation techniques with detailed notebook tutorials.

    rag python llm langchain tutorial

Course

  • AIforITOps

    Workshop for IT/Ops teams to learn how to manage AI-enabled applications on Microsoft Azure.

    workshop microsoft azure ai learning
  • Introduction to Data Science with Python

    Harvard online course teaching Python for data science, covering Pandas, NumPy, Matplotlib, SKLearn, regression, classification, and ML fundamentals.

    learning data-science python education machine-learning statistics
  • Learn Harness Engineering

    Course on making agentic coding tools reliable through environment design, state management, and control systems.

    harness-engineering ai-agents learning github-repo tutorial
  • Tiny LLM

    A hands-on course to build an LLM serving system from scratch using Python and MLX, covering inference, optimization, and batching.

    learning tutorial llm python ai education open-source
  • TorchCode

    LeetCode for PyTorch — practice implementing operators and architectures from scratch with instant auto-grading.

    pytorch machine-learning jupyter open-source python
  • iximiuz Labs

    Hands-on learning platform for Linux, Docker, Kubernetes, and networking with interactive tutorials, coding challenges, and sandboxed playgrounds.

    docker linux kubernetes networking sandbox
  • learn-claude-code

    A nano Claude Code-like agent harness built from 0 to 1, teaching harness engineering through 12 progressive sessions.

    claude-code ai-agents python tutorial open-source harness-engineering

Guide

  • Chain-of-Verification (CoVe)

    Educational guide on Chain-of-Verification prompting, a self-critique technique to reduce LLM hallucinations through systematic verification questions.

    learning ai llm prompt-engineering verification hallucination-detection documentation tutorial open-source
  • Claude Prompting Best Practices

    Comprehensive guide to prompt engineering techniques for Claude's latest models, covering clarity, examples, XML structuring, thinking, and agentic systems.

    claude prompt-engineering ai documentation
  • Effective Context Engineering for AI Agents

    Anthropic's guide to context engineering strategies for building capable AI agents, covering compaction, structured note-taking, and sub-agent architectures.

    learning ai context-management prompt-engineering agents ai-agents claude documentation
  • El-Pths Wiki

    Wiki related files for Electronics in PTHS Wiki (schematics, drawings, and images).

    open-source
  • Inside vLLM: Anatomy of a High-Throughput LLM Inference System

    Deep dive into vLLM's architecture covering paged attention, continuous batching, prefix caching, speculative decoding, chunked prefill, and multi-GPU/multi-node distributed serving.

    llm inference distributed-systems python tutorial
  • SHAP : A Comprehensive Guide to SHapley Additive exPlanations

    Comprehensive guide to SHAP (SHapley Additive exPlanations) covering waterfall plots, force plots, summary plots, and model interpretability for tree-based and deep learning models.

    machine-learning deep-learning model-interpretability xai python tutorial
  • Structured-Prompt-Driven Development (SPDD)

    Thoughtworks methodology treating prompts as first-class delivery artifacts with the REASONS Canvas to make LLM-assisted changes governable, reviewable, and reusable.

    learning ai prompt-engineering spec-driven-development software-engineering
  • SuperPrompt

    A project to engineer prompts that help understand AI agents and their behavior.

    ai prompts prompt-engineering open-source
  • Unity Clean Code

    Quick guide to help Unity developers create more robust, maintainable, and cleaner C# code.

    c# open-source
  • Using DSPy in Production

    Practical guide to building production DSPy applications covering async RAG pipelines, GEPA prompt optimization, FastAPI serving, and LangSmith monitoring.

    learning ai python rag framework optimization tutorial open-source

Book

  • Deep Learning with Python

    Free companion website for the Deep Learning with Python book covering neural networks, TensorFlow, PyTorch, JAX, Keras, and real-world AI workflows.

    learning book deep-learning python pytorch machine-learning education
  • LLMs from Scratch

    Implement a ChatGPT-like large language model in PyTorch from scratch, step by step.

    python machine-learning deep-learning transformers pytorch
  • Machine Learning Systems

    Open-source textbook and curriculum for machine learning systems engineering.

    machine-learning learning textbook ai open-source
  • System Design 101

    Explain complex systems using visuals and simple terms to help prepare for system design interviews.

    software-architecture system-design
  • The Accidental CTO

    Technical book chronicling the journey of scaling a startup from a single server to global infrastructure.

    learning system-design software-architecture book
  • Think Stats

    Notebooks, data, and supplementary material for the third edition of Think Stats.

    python jupyter data-science textbook statistics open-source

Research Paper

  • Dive into Claude Code

    Systematic source-level architectural analysis of Claude Code with design guidance for building AI agent systems.

    claude ai-agents research open-source
  • Dynamic Context Discovery

    Research post on dynamic context discovery — a token-efficient pattern for coding agents that pulls relevant context on demand via files rather than static context injection.

    context-engineering ai-agents context-management agent-skills mcp
  • Similarity Graph Traversal Semantic RAG Research

    Completed research on semantic retrieval augmented generation using novel semantic similarity graph traversal algorithms.

    rag research