Stars
Benchmark datasets, data loaders, and evaluators for graph machine learning
Graph Neural Network Library for PyTorch
Pytorch implementation of convolutional neural network visualization techniques
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
We are building an open database of COVID-19 cases with chest X-ray or CT images.
Codebase for Image Classification Research, written in PyTorch.
A profiling and performance analysis tool for TensorFlow
This repo contains the PyTorch implementation of the SNAS-Series papers
Differentiable architecture search for convolutional and recurrent networks
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
The Holistic Video Understanding Dataset (ECCV 2020 Spotlight presentation)
TensorFlow Code for paper "Efficient Neural Architecture Search via Parameter Sharing"
The Google Cloud Developer's Cheat Sheet
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Models and examples built with TensorFlow
Code for the paper "Language Models are Unsupervised Multitask Learners"
TensorFlow code and pre-trained models for BERT
An annotated implementation of the Transformer paper.
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"
Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS
Reference models and tools for Cloud TPUs.
A curated list of automated machine learning papers, articles, tutorials, slides and projects
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!