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Huixin Chen's Projects

alae icon alae

[CVPR2020] Adversarial Latent Autoencoders

auto-attack icon auto-attack

Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"

chatgpt_academic icon 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 icon cleverhans

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

clustering icon clustering

聚类分析: K均值聚类算法、层次聚类算法

deepks-kit icon deepks-kit

a package for developing machine learning-based chemically accurate energy and density functional models

deepmd-kit icon deepmd-kit

A deep learning package for many-body potential energy representation and molecular dynamics

deeprobust icon deeprobust

A pytorch adversarial library for attack and defense methods on images and graphs

dive-into-dl-pytorch icon dive-into-dl-pytorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

gittest icon gittest

This repo is for demonstration purposes only.

graph2nn icon graph2nn

code for paper "Graph Structure of Neural Networks"

mbrdl icon mbrdl

Repository for reproducing `Model-Based Robust Deep Learning`

nn_playground icon nn_playground

Experimental keras implementation of novel neural network structures

pretrained-models.pytorch icon pretrained-models.pytorch

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

pycls icon pycls

Codebase for Image Classification Research, written in PyTorch.

pytorch-cifar100 icon pytorch-cifar100

Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)

pytorch_practice icon pytorch_practice

这是我学习 PyTorch 的笔记对应的代码,点击查看 PyTorch 笔记在线电子书

readme icon readme

README文件语法解读,即Github Flavored Markdown语法介绍

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