shihuahuang95 Goto Github PK
Name: Shihua Huang
Type: User
Bio: PhD candidate.
Name: Shihua Huang
Type: User
Bio: PhD candidate.
PyTorch implementation of adversarial attacks.
Unofficial implementation of the DeepMind papers "Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples" & "Fixing Data Augmentation to Improve Adversarial Robustness" in PyTorch
Codes for NeurIPS 2020 paper "Adversarial Weight Perturbation Helps Robust Generalization"
dataset
Deformable Convolutional Networks v2 with Pytorch
This is the unofficial code of Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road Scenes. which achieve state-of-the-art trade-off between accuracy and speed on cityscapes and camvid, without using inference acceleration and extra data
This is a copy of deepmind's adversarial robustness repo
Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.
[ICCV 2021] FaPN: Feature-aligned Pyramid Network for Dense Image Prediction
OpenMMLab Detection Toolbox and Benchmark
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722
NSGA-Net, a Neural Architecture Search Algorithm
[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment
PoolFormer: MetaFormer is Actually What You Need for Vision
95.47% on CIFAR10 with PyTorch
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
Reproduces ResNet-V3 with pytorch
Revisiting Residual Networks for Adversarial Robustness: An Architectural Perspective
RobustBench: a standardized adversarial robustness benchmark [NeurIPS'21 Benchmarks and Datasets Track]
Segmentation models with pretrained backbones. PyTorch.
Shihua Huang's home page
Multimodal image-to-image translation via a single generative adversarial network
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
[NeurIPS 2021]: Are Transformers More Robust Than CNNs? (Pytorch implementation & checkpoints)
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.