Discover the Best Open-Source Jax Projects Sorted by Stars

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

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

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

The Unified AI Framework

A pleasant note-taking platform.

Beautiful and accessible math in all browsers

Feign makes writing java http clients easier

A damn simple library for building production-ready RESTful web services.

Trax — Deep Learning with Clear Code and Speed

关注基础知识，打造优质前端博客，公众号[前端工匠]的作者

📜 Automatically add next page

Deep learning operations reinvented (for pytorch, tensorflow, jax and others)

Python code for "Probabilistic Machine learning" book by Kevin Murphy

Interactive Tables and Data Grids for JavaScript

🐕 Bare minimum 500b fetch polyfill.

jQuery Form Plugin

📁 Open-source file manager for web, written in JavaScript using jQuery and jQuery UI

It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers will find it fascinating as well.

A tiny wrapper built around fetch with an intuitive syntax. :candy:

TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...