Stars
A multi-backend implementation of the Keras API, with support for TensorFlow, JAX, and PyTorch.
Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.
Industry-strength Computer Vision workflows with Keras
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
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.
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.
An implementation of Fastformer: Additive Attention Can Be All You Need, a Transformer Variant in TensorFlow
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
DALL·E Mini - Generate images from a text prompt
Ten Quick Tips for Deep Learning in Biology
Efficient and Lightweight Ear Segmentation AI Model