A JAX-native LLM Post-Training Library

Beancount: Double-Entry Accounting from Text Files.

Implementations of popular vision models in Jax (Flax NNX)

A multi-backend implementation of the Keras API, with support for TensorFlow, JAX, and PyTorch.

Self-hosted AI coding assistant

Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.

Clean up the public namespace of your package!

Industry-strength Computer Vision workflows with Keras

Pretrained model hub for Keras 3.

Official codebase used to develop Vision Transformer, SigLIP, MLP-Mixer, LiT and more.

A pure-functional implementation of a machine learning transformer model in Python/JAX

Kaggle Python docker image

Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

Build-related tools for TensorFlow

High-level batteries-included neural network training library for Pytorch

A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.

A GitHub Action for creating a new issue from a template file.

Deep Learning for humans

An implementation of Additive Attention

Code for the cocktail-party problem of isolating and enhancing the speech for the target speaker

The most cited deep learning papers

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

Putting NeRF on a Diet: Semantically Consistent Few-Shot View Synthesis Implementation

100 exercises to learn Python Datatable

Transformer related optimization, including BERT, GPT

ktrain is a Python library that makes deep learning and AI more accessible and easier to apply

The "Python Machine Learning (3rd edition)" book code repository