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.

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

scikit-learn: machine learning in Python

Deep Learning for humans

Stop renting your intelligence. Own it with AnythingLLM. Everything you need for a powerful local-first agent experience

Makes your AI agent think like the laziest senior dev in the room. The best code is the code you never wrote.

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

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.