Python scraper based on AI

Turn the current conversation and codebase context into a structured implementation spec, then publish it to the configured project issue tracker.

Reverse-lookup glossary that turns a vague description of a web animation or motion effect into its exact term ("the bouncy thing when a popover opens" → Pop in; "the iOS rubber-band scroll" → Rubber-banding). Use when the user asks "what's it called when…", or describes a motion effect without knowing its name and wants the right word to prompt an AI or designer with. For naming an effect, not designing or building one.

An Open Source Machine Learning Framework for Everyone

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

A versatile command-line tool for interacting with Google Workspace APIs, designed for both human users and AI agents.

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

Deploy applications and websites to Vercel, including preview deployments and shareable deployment links.

Persistent file-based planning for AI coding agents and long-running agentic tasks. Crash-proof markdown plans that survive context loss and /clear, plus a deterministic completion gate and multi-agent shared state on disk. Manus-style. Works with Claude Code, Codex CLI, Cursor, Kiro, OpenCode and 60+ agents via the SKILL.md standard.

scikit-learn: machine learning in Python

Deep Learning for humans

Get your documents ready for gen AI