😎 Awesome lists about all kinds of interesting topics

Colossal-AI: A Unified Deep Learning System for Big Model Era

The pure and clear PyTorch Distributed Training Framework.

A PyTorch Library for Reinforcement Learning Research

Python 3.8+ toolbox for submitting jobs to Slurm

A quickstart and benchmark for pytorch distributed training.

RobustBench: a standardized adversarial robustness benchmark [NeurIPS 2021 Benchmarks and Datasets Track]

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

🔥Deep Learning for Face Anti-Spoofing

LaTeXML: a TeX and LaTeX to XML/HTML/ePub/MathML translator.

Central Difference Convolutional Networks (CVPR'20)

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, …

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

Codes for reproducing query-efficient black-box attacks in “AutoZOOM: Autoencoder-based Zeroth Order Optimization Method for Attacking Black-box Neural Networks” ​​​​, published at AAAI 2019

Implementation of the paper "Learning Meta Model for Zero- and Few-shot Face Anti-spoofing"

Deep Spatial Gradient and Temporal Depth Learning for Face Anti-spoofing

reimplement of deep reinforcement learning algorithm with mxnet

A implementaion of depth generation based on [PRNet](https://github.com/YadiraF/PRNet), which was used in the paper ***Exploiting Temporal and Depth Information for Multi-frame Face Anti-spoofing***

Standalone TensorBoard for visualizing in deep learning

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more