🤗 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 toolkit for developing and comparing reinforcement learning algorithms.

Backup and keep your application settings in sync.

Ready-to-run Docker images containing Jupyter applications

A tool that bootstraps your dotfiles ⚡️

Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages

Preview GitHub README.md files locally before committing them.

Full-featured library for writing Alfred 3 & 4 workflows

Incremental merge for git

Live training loss plot in Jupyter Notebook for Keras, PyTorch and others

Intelligent tmux session management

Detect OS Dark Mode from Python

Embed arbitrary modalities (images, audio, documents, etc) into large language models.

Fetch your stats as CSVs for completed New York Times Crossword Puzzles

Alfred 2 Workflow for unit conversion

Cookiecutter for minimal Python Data Science project

Dash DocSet for TensorFlow 2.x and 1.x

Use an LLM to translate an NL query into a HTTP request for a given OpenAPI spec.