qyxqyx's Stars
sindresorhus/awesome
😎 Awesome lists about all kinds of interesting topics
qyxqyx/ColossalAI
Colossal-AI: A Unified Deep Learning System for Big Model Era
BIGBALLON/distribuuuu
The pure and clear PyTorch Distributed Training Framework.
HongxinXiang/pytorch-multi-GPU-training-tutorial
learnables/cherry
A PyTorch Library for Reinforcement Learning Research
facebookincubator/submitit
Python 3.8+ toolbox for submitting jobs to Slurm
tczhangzhi/pytorch-distributed
A quickstart and benchmark for pytorch distributed training.
RobustBench/robustbench
RobustBench: a standardized adversarial robustness benchmark [NeurIPS'21 Benchmarks and Datasets Track]
Cadene/pretrained-models.pytorch
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
ZitongYu/DeepFAS
🔥Deep Learning for Face Anti-Spoofing
brucemiller/LaTeXML
LaTeXML: a TeX and LaTeX to XML/HTML/ePub/MathML translator.
ZitongYu/CDCN
Central Difference Convolutional Networks (CVPR'20)
microsoft/MMdnn
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, PyTorch Onnx and CoreML.
qyxqyx/LWAU
none
Trusted-AI/adversarial-robustness-toolbox
Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams
IBM/Autozoom-Attack
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
qyxqyx/FAS_Chalearn_challenge
qyxqyx/AIM_FAS
Implementation of the paper "Learning Meta Model for Zero- and Few-shot Face Anti-spoofing"
clks-wzz/FAS-SGTD
Deep Spatial Gradient and Temporal Depth Learning for Face Anti-spoofing
qyxqyx/DRL
reimplement of deep reinforcement learning algorithm with mxnet
clks-wzz/PRNet-Depth-Generation
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***
dmlc/tensorboard
Standalone TensorBoard for visualizing in deep learning
apache/mxnet
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more