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Name: Yichuan Mo
Type: User
Bio: Ph.D. candidate at Peking University
Location: Beijing
Name: Yichuan Mo
Type: User
Bio: Ph.D. candidate at Peking University
Location: Beijing
PyTorch implementation of adversarial attacks.
Awesome Generative Adversarial Networks with tensorflow
上海交通大学网安学院本科编程作业参考
Empirical tricks for training state-of-the-art robust models on CIFAR-10 (ICLR 2021)
A challenge to explore adversarial robustness of neural networks on CIFAR10.
Voice Conversion by CycleGAN (语音克隆/语音转换)
DCGAN LSGAN WGAN-GP DRAGAN PyTorch
The default dcgan is used to generate 64 * 64 pictures. In this code repository, we modify the network structure to generate 128 * 128 or 256 * 256 pictures.
deep learning for image processing including classification and object-detection etc.
DCGAN + GDPP Loss for Fake Face Generation on Celeb A Dataset
Improving the Speed and Quality of GAN by Adversarial Training
Code for paper "Which Training Methods for GANs do actually Converge? (ICML 2018)"
Code for experiments regarding importance sampling for training neural networks
李宏毅2021春季机器学习课程课件及作业
This code is for our accepted manuscript to 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Code for the paper "On the Adversarial Robustness of Visual Transformers"
A browser extension to automatically store the papers you read (Arxiv, OpenReview & more)! Also enhances ArXiv: BibTex citation, Markdown link, direct download and more!
Pytorch implementation of convolutional neural network visualization techniques
PyTorch implementation of DCGAN, WGAN-GP and SNGAN.
A Collection of Variational Autoencoders (VAE) in PyTorch.
Pytorch implementation of DCGAN, WGAN-CP, WGAN-GP
A mix of GAN implementations including progressive growing
A list of papers on Generative Adversarial (Neural) Networks
This respository is a tool to push me to learn pytorch.
RobustBench: a standardized adversarial robustness benchmark [arXiv, Oct 2020]
This is a repository of software development team 1, we decide to develop a website.
StyleGAN2 with adaptive discriminator augmentation (ADA) - Official TensorFlow implementation
TRADES (TRadeoff-inspired Adversarial DEfense via Surrogate-loss minimization)
[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.