Pinned Repositories
adversarial-attacks-pytorch
PyTorch implementation of adversarial attacks.
adversarial-recommender-systems-survey
The goal of this survey is two-fold: (i) to present recent advances on adversarial machine learning (AML) for the security of RS (i.e., attacking and defense recommendation models), (ii) to show another successful application of AML in generative adversarial networks (GANs) for generative applications, thanks to their ability for learning (high-dimensional) data distributions. In this survey, we provide an exhaustive literature review of 74 articles published in major RS and ML journals and conferences. This review serves as a reference for the RS community, working on the security of RS or on generative models using GANs to improve their quality.
awesome-cs-books
经典编程书籍大全，涵盖：计算机系统与网络、系统架构、算法与数据结构、前端开发、后端开发、移动开发、数据库、测试、项目与团队、程序员职业修炼、求职面试等
CVPR2022-Paper-Code-Interpretation
cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理
dataset
Open RadioML Synthetic Benchmark Dataset
Deep-Learning
Deep-Reinforcement-Learning-Algorithms-with-Pytorch
学习很好的DRL的代码库
DeepFool
A simple and accurate method to fool deep neural networks（这个是deepfool作者贡献的代码）
docs
Documentations for PaddlePaddle
gans-in-action
Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks
rbinzhang's Repositories
rbinzhang/DeepFool
A simple and accurate method to fool deep neural networks（这个是deepfool作者贡献的代码）
rbinzhang/gans-in-action
Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks
rbinzhang/adversarial-attacks-pytorch
PyTorch implementation of adversarial attacks.
rbinzhang/adversarial-recommender-systems-survey
The goal of this survey is two-fold: (i) to present recent advances on adversarial machine learning (AML) for the security of RS (i.e., attacking and defense recommendation models), (ii) to show another successful application of AML in generative adversarial networks (GANs) for generative applications, thanks to their ability for learning (high-dimensional) data distributions. In this survey, we provide an exhaustive literature review of 74 articles published in major RS and ML journals and conferences. This review serves as a reference for the RS community, working on the security of RS or on generative models using GANs to improve their quality.
rbinzhang/awesome-cs-books
经典编程书籍大全，涵盖：计算机系统与网络、系统架构、算法与数据结构、前端开发、后端开发、移动开发、数据库、测试、项目与团队、程序员职业修炼、求职面试等
rbinzhang/CVPR2022-Paper-Code-Interpretation
cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理
rbinzhang/dataset
Open RadioML Synthetic Benchmark Dataset
rbinzhang/Deep-Learning
rbinzhang/Deep-Reinforcement-Learning-Algorithms-with-Pytorch
学习很好的DRL的代码库
rbinzhang/docs
Documentations for PaddlePaddle
rbinzhang/dogsVScats
图像二分类问题 猫狗大战 pytorch CNN
rbinzhang/DogsVsCats-1
Kaggle竞赛题猫狗大战 ，用于PyTorch入门（可用于CNN、pytorch入门）
rbinzhang/examples
Useful RadioML Examples
rbinzhang/keras-dcgan
Keras implementation of Deep Convolutional Generative Adversarial Networks
rbinzhang/learn-python
📚 Playground and cheatsheet for learning Python. Collection of Python scripts that are split by topics and contain code examples with explanations.
rbinzhang/learn-python3
Jupyter notebooks for teaching/learning Python 3
rbinzhang/python_reference
Useful functions, tutorials, and other Python-related things
rbinzhang/SAR-Synthetic-Aperture-Radar
合成孔径雷达 相关。研究生期间学习 SAR/InSAR/PolSAR 相关的代码和总结，毕业后已经离开这个领域了。分享出来，仅此纪念。1）SAR: 成像算法，RD，CS，Radarsat-1数据成像处理。2）InSAR: 人造场景原始回波仿真、成像及干涉处理。包括平地场景和圆锥形场景。3）PolSAR: 极化定标算法，Whitt, PARC, Quegan, Ainsworth。详见 readme.md
rbinzhang/the-gan-zoo
A list of all named GANs!