Awesome Claude Design
Section: External catalogs · 59+ brands in Stitch-format, every entry ships preview.html (tool-agnostic twin)
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Appears in 2 awesome lists
Curated collection of DESIGN.md files representing popular design systems to guide AI coding agents in consistent UI generation. MIT licensed.
Section: External catalogs · 59+ brands in Stitch-format, every entry ships preview.html (tool-agnostic twin)
Section: 14. Resources & Learning · Curated collection of DESIGN.md files representing popular design systems to guide AI coding agents in consistent UI generation. MIT licensed.
The definitive curated list of machine learning frameworks, libraries and software organized by language. Covers Python, C++, Java, JavaScript, and more with comprehensive coverage of the ML ecosystem. CC0-1.0 licensed.
Curated list of artificial intelligence courses, books, video lectures, and papers for developers and researchers. MIT licensed.
Anthropic's official notebook collection covering orchestrator-worker patterns, parallel tool calling, programmatic tool calling (PTC), context compaction, and Agent SDK examples. The patterns/agents/ directory is the reference implementation of every orchestration pattern described in Building…
A hand-picked collection of the finest of resources for the most awesome of agents, Claude Code, the undisputed champion of coding companions, from the unstoppable team at Anthropic PBC. A delectable showcase of top tier skills, ambidextrous agents, scintillating status lines, top notch developer…
21 lessons covering generative AI fundamentals, prompt engineering, RAG applications, fine-tuning, and LLM app deployment with practical exercises.
10-week, 20-lesson curriculum on data science fundamentals. Covers data preparation, visualization, modeling, and deployment with practical projects.
YSDA course in Natural Language Processing with 2025 materials covering text classification, language models, transformers, and modern NLP techniques. MIT licensed.
Beginner-friendly 12-week artificial intelligence curriculum with 24 ordered lessons, quizzes, labs, and practical notebooks covering symbolic AI, deep learning, computer vision, NLP, reinforcement learning, and AI ethics.