Legible, Scalable, Reproducible Foundation Models with Named Tensors and Jax

Dependency injection framework for Python

Make your functions return something meaningful, typed, and safe!

A curated list of awesome things related to dependency inversion / dependency injection in Python. (Contributions welcomed).

random command line tools for deep learning

Scripts for generating flashcards.

Learning Rate Finder (or LRFinder) Callback for Keras. Implementation as close as possible of FastAI.

VS Code extension that provides type checking and analysis for Python code using mypy.

Gin provides a lightweight configuration framework for Python

Enforce the same settings on multiple projects

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

Provides runtime validation of attributes specified in Python 'attr'-based data classes.

Open-source Pinewood Derby race management, built around a web server and database

Exit pytest test session with custom exit code in different scenarios

Bayesian inference in Scala.

A library to handle automated deprecations

Natural Language Processing Best Practices & Examples

Kotlin wrappers for popular JavaScript libraries

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

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

Dark GitHub style

Browser extension that simplifies the GitHub interface and adds useful features

Lightweight Multiplatform logging framework for Kotlin. A convenient and performant logging facade.

A Bible translation editor for everyone.

Python logging made (stupidly) simple

⚡️ An efficient cache for the execution of dask graphs.

Immutable persistent collections for Kotlin

Anki's shared backend and web components, and the Qt frontend

AnkiDroid: Anki flashcards on Android. Your secret trick to achieve superhuman information retention.