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2021-codecraft

2021华为软件挑战赛复赛11

addernet

Code for paper " AdderNet: Do We Really Need Multiplications in Deep Learning?"

adversarial-attacks-for-image-and-video-object-detection

A Implementation of IJCAI-19(Transferable Adversarial Attacks for Image and Video Object Detection)

c-primer-plus

C Primer Plus第六版中文版习题答案

classification_models

Classification models trained on ImageNet. Keras.

codinginterviewchinese2

《剑指Offer》第二版源代码

cppprimerplus-six-

C++PrimerPlus(第6版)中文版源码

csgmcmc

Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning

cuda_tree_add

exercise for cuda add_tree

darknet

YOLOv4 - Neural Networks for Object Detection (Windows and Linux version of Darknet )

detdak

Patch adversarial attack; object detection; CIKM2020 安全AI挑战者计划第四期：通用目标检测的对抗攻击

detr

End-to-End Object Detection with Transformers

faster-rcnn.pytorch

A faster pytorch implementation of faster r-cnn

gitskills

greedyfool

GreedyFool (NIPS2020) official code for saprse adversarial attack

html

HTML Standard

lsuv-pytorch

Simple implementation of the LSUV initialization in PyTorch

mysql_refinement_resource

MySQL的精进学习资源大全（每天不定时更新）

nn_robust_attacks

Robust evasion attacks against neural network to find adversarial examples

patch-wise-iterative-attack

Patch-wise iterative attack (accepted by ECCV 2020) to improve the transferability of adversarial examples.

pix2pix

Image-to-image translation with conditional adversarial nets

pytorch-bayesiancnn

Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

pytorch-cifar

95.16% on CIFAR10 with PyTorch

pytorch-ensembles

Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning, ICLR 2020

pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

pytorch-grad-cam

PyTorch implementation of Grad-CAM

pytorch-handbook

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

score-cam

[CVPRW 2020] Official implementation of Score-CAM in Pytorch

torch-cam

Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-CAM)