qyxqyx

qyxqyx's Stars

• sindresorhus/awesome

  😎 Awesome lists about all kinds of interesting topics

  321k27.6k

• qyxqyx/ColossalAI

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

  1

• BIGBALLON/distribuuuu

  The pure and clear PyTorch Distributed Training Framework.

  Language:Python27657

• HongxinXiang/pytorch-multi-GPU-training-tutorial

  Language:Python6019

• learnables/cherry

  A PyTorch Library for Reinforcement Learning Research

  Language:Python19732

• facebookincubator/submitit

  Python 3.8+ toolbox for submitting jobs to Slurm

  Language:Python1.2k120

• tczhangzhi/pytorch-distributed

  A quickstart and benchmark for pytorch distributed training.

  Language:Python1.6k294

• RobustBench/robustbench

  RobustBench: a standardized adversarial robustness benchmark [NeurIPS'21 Benchmarks and Datasets Track]

  Language:Python64296

• Cadene/pretrained-models.pytorch

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

  Language:Python9k1.8k

• ZitongYu/DeepFAS

  🔥Deep Learning for Face Anti-Spoofing

  51764

• brucemiller/LaTeXML

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

  Language:Perl90196

• ZitongYu/CDCN

  Central Difference Convolutional Networks (CVPR'20)

  Language:Python550179

• 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.

  Language:Python5.8k965

• qyxqyx/LWAU

  none

  Language:Python2

• Trusted-AI/adversarial-robustness-toolbox

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

  Language:Python4.7k1.1k

• 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

  Language:Python5622

• qyxqyx/FAS_Chalearn_challenge

  Language:Python1

• qyxqyx/AIM_FAS

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

  Language:Python6419

• clks-wzz/FAS-SGTD

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

  Language:Python22857

• qyxqyx/DRL

  reimplement of deep reinforcement learning algorithm with mxnet

  Language:Python5

• 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***

  Language:Python9531

• dmlc/tensorboard

  Standalone TensorBoard for visualizing in deep learning

  Language:Python36960

• 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

  Language:C++20.8k6.8k