CkiChen

CkiChen's Stars

• codecrafters-io/build-your-own-x

  Master programming by recreating your favorite technologies from scratch.

  Language:Markdown317k5.5k70129.4k

• labuladong/fucking-algorithm

  刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.

  Language:Markdown126k2.3k85923.2k

• huihut/interview

  📚 C/C++ 技术面试基础知识总结，包括语言、程序库、数据结构、算法、系统、网络、链接装载库等知识及面试经验、招聘、内推等信息。This repository is a summary of the basic knowledge of recruiting job seekers and beginners in the direction of C/C++ technology, including language, program library, data structure, algorithm, system, network, link loading library, interview experience, recruitment, recommendation, etc.

  Language:C++35k863638k

• qinguoyi/TinyWebServer

  :fire: Linux下C++轻量级WebServer服务器

  Language:C++17.1k902444k

• eriklindernoren/Keras-GAN

  Keras implementations of Generative Adversarial Networks.

  Language:Python9.2k2732333.1k

• zhangqianhui/AdversarialNetsPapers

  Awesome paper list with code about generative adversarial nets

  6.6k462161.9k

• cleverhans-lab/cleverhans

  An adversarial example library for constructing attacks, building defenses, and benchmarking both

  Language:Jupyter Notebook6.2k1904531.4k

• youngyangyang04/PowerVim

  Make your vim more power and much easer. 最实用的vim配置🔥

  Language:Vim Script1.6k856246

• wq2012/awesome-diarization

  A curated list of awesome Speaker Diarization papers, libraries, datasets, and other resources.

  1.6k768227

• advboxes/AdvBox

  Advbox is a toolbox to generate adversarial examples that fool neural networks in PaddlePaddle、PyTorch、Caffe2、MxNet、Keras、TensorFlow and Advbox can benchmark the robustness of machine learning models. Advbox give a command line tool to generate adversarial examples with Zero-Coding.

  Language:Jupyter Notebook1.4k5638265

• SuperBruceJia/EEG-DL

  A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.

  Language:Python9752225226

• philipperemy/deep-speaker

  Deep Speaker: an End-to-End Neural Speaker Embedding System.

  Language:Python9084885241

• astorfi/3D-convolutional-speaker-recognition

  :speaker: Deep Learning & 3D Convolutional Neural Networks for Speaker Verification

  Language:Python7835858274

• YimianDai/open-aff

  code and trained models for "Attentional Feature Fusion"

  Language:Python74884295

• puge-up/programming-cpp

  Linux C/C++ 学习笔记、内含视频 + 电子书 + 项目等，专注于 C++ 技术栈！

  Language:C3154062

• xiangzhang1015/Deep-Learning-for-BCI

  Resources for Book: Deep Learning for EEG-based Brain-Computer Interface: Representations, Algorithms and Applications

  Language:Jupyter Notebook2114454

• asfathermou/human-computer-interaction

  国科大人机交互大作业：多模态情感识别

  Language:Jupyter Notebook1143323

• tanjuntao/Adversarial-Machine-Learning

  对抗样本（Adversarial Examples）和投毒攻击（Poisoning Attacks）相关资料

  1092027

• sunblaze-ucb/blackbox-attacks

  Code used in 'Exploring the Space of Black-box Attacks on Deep Neural Networks' (https://arxiv.org/abs/1712.09491)

  Language:Python6113313

• getsources/CS-Growing-book

  这个项目是findyi第一个github项目。计算机类常用电子书及程序员成长书籍整理，并且附带下载链接，包括Java，Python，Linux，Go，C，C++，数据结构与算法，人工智能，计算机基础，面试，设计模式，数据库，前端等，同时还包括findyi原创内容和findyi团队原创，及程序世界外的认知书籍。

  4910107

• BXuan694/Universal-Adversarial-Perturbation

  This is PyTorch Implementation of Universal Adversarial Perturbation (https://arxiv.org/abs/1610.08401)

  Language:Python444310

• grmaple/cpp_mianshi

  这个项目主要用作C++开发面试相关知识学习。

  Language:C++275

• xiangzhang1015/EEG_Shape_Reconstruction

  Multi-task Generative Adversarial Learning on Geometrical Shape Reconstruction from EEG Brain Signals, published in ICONIP 2019.

  Language:Python21405

• duncan-barrack/kaggle_BCI_challenge

  contains the code I used for the winning solution for the INRIA BCI challenge

  Language:MATLAB15213

• shixianwen/Rapid-transfer-of-brain-machine-interfaces-to-new-neuronal-ensembles-or-participants

  15842

• cuijiancorbin/Subject-Independent-Drowsiness-Recognition-from-Single-Channel-EEG-with-an-Interpretable-CNN-LSTM

  In this project, we propose a CNN-LSTM model to classify single-channel EEG for driver drowsiness detection. We designed a visualization technique by taking advantage of the hidden states output by the LSTM layer. Results show that the model not only has a high accuracy but also learns biologically explainable features, e.g., Alpha spindles, as evidence for the drowsy state.

  Language:Python12111

• ali77sina/cGAN_EEG

  conditional Generative Adversarial Networks (cGAN) as a means of creating synthetic but real-looking time-series data

  Language:Python2110

• bngabonziza/adversarial-attacks-pytorch

  PyTorch implementation of adversarial attacks.

  Language:Python2000

• quqixun/AdversarialAttack

  Attack models that are pretrained on ImageNet. (1) Attack single model or multiple models. (2) Apply white-box attacks or black-box attacks. (3) Apply non-targeted attacks or targeted attacks.

  Language:Python210

• astorfi/PlotNeuralNet

  Latex code for making neural networks diagrams

  Language:TeX110