Open, source-backed catalog of computer-use agents: reviewed papers, GUI models, datasets, benchmarks, tools, and reusable JSONL/SQLite data.
- agent-evaluation
- agentic-ai
- ai-agents
- awesome
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Open, source-backed catalog of computer-use agents: reviewed papers, GUI models, datasets, benchmarks, tools, and reusable JSONL/SQLite data.
IPython notebooks on Gilbert Strang's MIT course on linear algebra (18.06)
A curated list of awesome pytest resources
Mostly experiments based on "Advances in financial machine learning" book
A curated list of awesome Pyramid apps, projects and resources.
Awesome REA (Reverse Engineer Anything): what AI agents reverse-engineered and rebuilt, and which ones really used REA. Unofficial, bilingual, every case checked.
Slides, scripts and materials for the Machine Learning in Finance Course at NYU Tandon, 2022
A foundational and practical guide for effectively learning and progressively building a blockchain from scratch in Go with gRPC
Assorted code ideas, unofficial MP FAQ, plus index to my other repositories.
Growing the code out of your notebooks - the right way.
Use-case guide to Nintendo Switch 2 emulator forks: builds, games, GPUs, Android, and community reports.
Learn Robotics with JdeRobot
TranslatedChinese tutorial for Stanford CS329Z Engineering AI Agents: an AI agent course for Python developers, with 19 lectures and 4 hands-on practices, covering LLMs, RAG, tool calling, memory, multi-agent systems, evaluation, and safety. Full Markdown, online and offline HTML. Chinese course notes.
Language Model GRU with Python and Theano
Sources codes for: Mastering Python for Finance, Second Edition
Tutorials, datasets, and other material associated with textbook "A First Course in Network Science" by Menczer, Fortunato & Davis
:truck: San Francisco's finger-licking street food now at your fingertips.
A learning environment for Python suited for beginners and children, inspired by Logo.
TranslatedA basic tutorial for getting started with AI Agents from zero background. It is not just a tutorial but also an Agent that can run locally: read and write files, execute commands, MCP, long-term memory, with a built-in web interface to see every step clearly. Starting from a minimal 100-line loop, each lesson adds one capability, and in the end it breaks down mainstream Agents such as Claude Code and Codex
Full tutorial of computer vision and machine learning basics with OpenCV and Keras in Python.
Deep Learning Resources and Tutorials using Keras and Lasagne
Official code repo for the O'Reilly Book - "An Illustrated Guide to AI Agents"
A curated collection of REA and AI-assisted reverse engineering cases, projects, and ideas. Updated every four hours.
Presentations from H2O meetups & conferences by the H2O.ai team