TensorFlow code and pre-trained models for BERT

A toolkit for developing and comparing reinforcement learning algorithms.

OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

OpenMMLab Detection Toolbox and Benchmark

☁️ Build multimodal AI applications with cloud-native stack

Companion webpage to the book "Mathematics For Machine Learning"

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."

AutoML library for deep learning

A PyTorch implementation of EfficientNet

Automated Machine Learning with scikit-learn

[CVPR 2020] 3D Photography using Context-aware Layered Depth Inpainting

arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv

ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution. The training codes are in BasicSR.

A curated list of awesome self-supervised methods

An Industrial Grade Federated Learning Framework

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)

Reference models and tools for Cloud TPUs.

PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

SenseTime Research platform for single object tracking, implementing algorithms like SiamRPN and SiamMask.

Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.

A comprehensive collection of recent papers on graph deep learning

A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX

On the Variance of the Adaptive Learning Rate and Beyond

Automated Deep Learning: Neural Architecture Search Is Not the End (a curated list of AutoDL resources and an in-depth analysis)

ICCV2019 - Learning to Paint With Model-based Deep Reinforcement Learning

A Python library for audio data augmentation. Useful for making audio ML models work well in the real world, not just in the lab.

Library for training machine learning models with privacy for training data

A collection of state-of-the-art video or single-image super-resolution architectures, reimplemented in tensorflow.