Scarhei's repositories
advertorch
A Toolbox for Adversarial Robustness Research
adversarial-attacks-pytorch
PyTorch implementation of adversarial attacks.
chatgpt_academic
科研工作专用ChatGPT拓展，特别优化学术Paper润色体验，支持自定义快捷按钮，支持markdown表格显示，Tex公式双显示，代码显示功能完善，新增本地Python工程剖析功能/自我剖析功能
cleverhans
An adversarial example library for constructing attacks, building defenses, and benchmarking both
CSPostgraduate-408
💯 CSPostgraduate 计算机考研 408 专业课资料及真题资源
Deep-Learning-for-BCI
Resources for Book: Deep Learning for EEG-based Brain-Computer Interface: Representations, Algorithms and Applications
DeepLearning-MuLi-Notes
Notes about courses Dive into Deep Learning by Mu Li
EEG-ATCNet
Attention temporal convolutional network for EEG-based motor imagery classification
EEG-DL
A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.
EEGAdversary
This is a toolbox to construct adversarial examples of EEG signals. The traditional EEG extraction methods and classifiers are re-implemented in Tensorflow.
Generative-Perturbation-Networks
Official PyTorch Implementaion of Generative Perturbation Network for Signal-Agnostic/Specific Adversarial Attacks on EEG-based Brain-Computer Interfaces
KerasAdversary
This project is aimed to provide a simple interface to attack the models built with Keras. It can be very simple to craft adversarial examples with different attacking methods using our API.
P300-CNNT
1D Convolutional Neural Networks for P300 detection from EEG signals
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
Student-resources
本文介绍的是利用学生、教职工身份可以享受到的相关学生优惠、教育优惠或教师优惠的权益，但也希望各位享受权利的同时不要忘记自己的义务，不要售卖、转手自己的学生优惠、教育优惠的资格，使得其他同学无法受益。
torcheeg
TorchEEG is a library built on PyTorch for EEG signal analysis.
Transferable_Perturbations
[NeurIPS2021] Code Release of Learning Transferable Perturbations