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adversarial-attacks-pytorch

PyTorch implementation of adversarial attacks.

adversarial_image_defenses

Countering Adversarial Image using Input Transformations.

aitl_pytorch

The pytorch implementation of AITL

attack-and-defense-methods

A curated list of papers on adversarial machine learning (adversarial examples and defense methods).

dlib_install

The wheel package files of Dlib and pip for Python in Window / Dlib 和 pip 安装的 whl 文件

emotion-detection

Real-time Facial Emotion Detection using Keras

face_classification

Real-time face detection and emotion/gender classification using fer2013/imdb datasets with a keras CNN model and openCV.

generative-adversarial-nets-papers-with-codes

光罗天下之论文，汇聚天下之代码，（GAN）干就完了

insightface_tf

Insight Face on TensorFlow

kbqa-bert

基于知识图谱的问答系统，BERT做命名实体识别和句子相似度，分为online和outline模式

mnist-

opencv

Open Source Computer Vision Library

pretrained-models.pytorch

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

python-data-science-handbook

A Chinese translation of Jake Vanderplas' "Python Data Science Handbook". 《Python数据科学手册》在线Jupyter notebook中文翻译

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

robust_overfitting

stm

[ACM MM 2023] Improving the Transferability of Adversarial Examples with Arbitrary Style Transfer.

the-first-demo-of-gans

GAN的一个小demo，在mnist数据集上实现，输入随机噪声，通过生成器和判别器训练之后，输出在该噪声下生成的数字。

transferattack

TransferAttack is a pytorch framework to boost the adversarial transferability for image classification.