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

scikit-learn: machine learning in Python

Deep Learning for humans

Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

Visualizer for neural network, deep learning and machine learning models

The fastai deep learning library

A Claude Code plugin that shows what's happening - context usage, active tools, running agents, and todo progress

Apple's approach to interface design and fluid, physical motion, translated for the web. Use when building or reviewing gesture-driven UI, spring animations, drag/swipe/sheet interactions, momentum and interruptible transitions, translucent materials and depth, typography (optical sizing, tracking, leading), reduced-motion, or the design foundations (feedback, spatial consistency, restraint) behind Apple-style interfaces.