AutoML library for deep learning

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

Automated Machine Learning with scikit-learn

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

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

Reference models and tools for Cloud TPUs.

Mobile vision models and code

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

Library for training machine learning models with privacy for training data

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

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

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

☁️ Build multimodal AI applications with cloud-native stack

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

Companion webpage to the book "Mathematics For Machine Learning"

An Industrial Grade Federated Learning Framework

A new codebase for popular Scene Graph Generation methods (2020). Visualization & Scene Graph Extraction on custom images/datasets are provided. It's also a PyTorch implementation of paper “Unbiase…

A toolkit for developing and comparing reinforcement learning algorithms.

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

OpenMMLab Detection Toolbox and Benchmark

PointFlow : 3D Point Cloud Generation with Continuous Normalizing Flows

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

Official PyTorch Repo for "ReZero is All You Need: Fast Convergence at Large Depth"

Deep relational reasoning graph network for arbitrary shape text detection; Accepted by CVPR 2020 (Oral). http://arxiv.org/abs/2003.07493

TensorFlow code and pre-trained models for BERT

A curated list of awesome self-supervised methods

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."

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