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aad_training_framework

easy triaining mnist, cifar, imagenet, include AAD framework

adversarial_patch_attack

Pytorch implementation of Adversarial Patch on ImageNet (arXiv: https://arxiv.org/abs/1712.09665)

adversarial_yolo2

Forked for gitlab, https://gitlab.com/EAVISE/adversarial-yolo

cd-vae

[NeurIPS 2021] "Class-Disentanglement and Applications in Adversarial Detection and Defense"

class-balanced-loss

Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019

closerlookfewshot

source code to ICLR'19, 'A Closer Look at Few-shot Classification'

cnn-codegenerator

卷积网络DIY和常用DL框架代码生成

constructed-datasets

Datasets for the paper "Adversarial Examples are not Bugs, They Are Features"

cvpr2020-paper-code-interpretation

cvpr2020/cvpr2019／cvpr2018/cvpr2017 papers，极市团队整理

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

dpatch

An adversarial attack on object detectors

edge

EDGE: Scalable and optimum mutual information estimator for high-dimensional applications including deep learning

fourierheatmap

Unofficial pytorch implementation of Fourier Heat Map proposed in 'A Fourier Perspective on Model Robustness in Computer Vision' [Yin+, NeurIPS2019]

freqbias

frequency-long-tailed-investigation

gcn-align

Code of the paper: Cross-lingual Knowledge Graph Alignment via Graph Convolutional Networks.

google-images-download

Python Script to download hundreds of images from 'Google Images'. It is a ready-to-run code!

gradient_descent_viz

interactive visualization of 5 popular gradient descent methods with step-by-step illustration and hyperparameter tuning UI

hbar

hexo-theme-next

Elegant theme for Hexo.

hsic-bottleneck

The HSIC Bottleneck: Deep Learning without Back-Propagation

idnns

explore DNNs via Infomration

ifsl

[NeurIPS 2020] Released code for Interventional Few-Shot Learning

image-processing-application

数字媒体课程大作业，图像基本处理、Seam Carving、暗通道去雾

maml-pytorch

Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)

mixup-cifar10

mixup: Beyond Empirical Risk Minimization

moco

A PyTorch implementation of MoCo based on CVPR 2020 paper "Momentum Contrast for Unsupervised Visual Representation Learning"

panet

PANet for Instance Segmentation and Object Detection

pyhessian

PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks

pytorch-classification

Classification with PyTorch.