🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Models and examples built with TensorFlow

Deep Learning for humans

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

A code-completion engine for Vim

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)

A library for transfer learning by reusing parts of TensorFlow models.

A Hyperparameter Tuning Library for Keras

🤗 Evaluate: A library for easily evaluating machine learning models and datasets.

High-quality implementations of standard and SOTA methods on a variety of tasks.

extrakto for tmux - quickly select, copy/insert/complete text without a mouse

Code for Parsel 🐍 - generate complex programs with language models

Data-driven simulation for training and evaluating full-scale autonomous vehicles.