jankinf

awesome-chatgpt-prompts

This repo includes ChatGPT prompt curation to use ChatGPT better.

adv-patch-paper-list

A paper list for localized adversarial patch research

face-parsing.PyTorch

Using modified BiSeNet for face parsing in PyTorch

insightface

State-of-the-art 2D and 3D Face Analysis Project

arcface-pytorch

sphereface_pytorch

A PyTorch Implementation of SphereFace.

facenet

Face recognition using Tensorflow

PyTorch_CIFAR10

Pretrained TorchVision models on CIFAR10 dataset (with weights)

megfile

Megvii FILE Library - Working with Files in Python same as the standard library

HumanSystemOptimization

健康学习到150岁 - 人体系统调优不完全指南

ODS

Code for "Diversity can be Transferred: Output Diversification for White- and Black-box Attacks"

CDCN

Central Difference Convolutional Networks (CVPR'20)

DeepFAS

🔥Deep Learning for Face Anti-Spoofing

keras-resnet

Residual networks implementation using Keras-1.0 functional API

SSDG-CVPR2020

Single-Side Domain Generalization for Face Anti-Spoofing, CVPR2020

tsailun

Open source selfhosted web-based wiki/doc/knowledge management and collaboration

duku-list

读库 MOOK 的全部目录+内容简介（2006至2023）：方便检索，免得总是去豆瓣搜。

optimizer-visualization

Visualize Tensorflow's optimizers.

pytorch_memlab

Profiling and inspecting memory in pytorch

Geometry-aware-Instance-reweighted-Adversarial-Training

the paper "Geometry-aware Instance-reweighted Adversarial Training" ICLR 2021 oral

fast_adversarial

[ICLR 2020] A repository for extremely fast adversarial training using FGSM

FreeAdversarialTraining

PyTorch Implementation of Adversarial Training for Free!

free_adv_train

Official TensorFlow Implementation of Adversarial Training for Free! which trains robust models at no extra cost compared to natural training.

loss-landscape

Code for visualizing the loss landscape of neural nets

robust_overfitting

ttach

Image Test Time Augmentation with PyTorch!

NRP

Official repository for "A Self-supervised Approach for Adversarial Robustness" (CVPR 2020--Oral)

NIPS2017_adv_challenge_defense

Mitigating Adversarial Effects Through Randomization

Guided-Denoise

The winning submission for NIPS 2017: Defense Against Adversarial Attack of team TSAIL

SI-NI-FGSM