harrywuhust2022 Goto Github PK
Name: HarryWu_hust
Type: User
Name: HarryWu_hust
Type: User
A repository in preparation for open-sourcing lottery ticket hypothesis code.
ACM Multimedia 2021, Poster
A pytorch implementations of Adversarial attacks and utils
A Toolbox for Adversarial Robustness Research
a Pytorch implementation of the paper "Generating Adversarial Examples with Adversarial Networks" (advGAN).
[NeurIPS 2020]auto_LiRPA: An Automatic Linear Relaxation based Perturbation Analysis Library for Neural Networks
Awesome Crowd Counting
A collection of awesome things about domian piece-wise planar reconstruction
:metal: awesome-semantic-segmentation
Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)
A curated list of papers & resources linked to 3D reconstruction from images.
Official Implement of ICCV 2019 oral paper Bayesian Loss for Crowd Count Estimation with Point Supervision
Lipschitz-Certifiable Training with a Tight Outer Bound [NeurIPS 2020] | BCP (Box Constraint Propagation) | ⚡💪🛡️
[NeurIPS 2020] "The Lottery Ticket Hypothesis for Pre-trained BERT Networks", Tianlong Chen, Jonathan Frankle, Shiyu Chang, Sijia Liu, Yang Zhang, Zhangyang Wang, Michael Carbin
Official implementation for CVPR 2022 paper "Represent, Compare, and Learn: A Similarity-Aware Framework for Class-Agnostic Counting".
Paper template and author instructions for BMVC
Official Implement of CVPR 2022 paper 'Boosting Crowd Counting via Multifaceted Attention'
Repository for Certified Defenses for Adversarial Patch ICLR-2020
REST geometry server based on RhinoCommon and headless Rhino
Certified Radius-Guided Attacks and Robustness Training against Semantic Segmentation
Certified Radius-Guided Attacks and Robustness Training against Semantic Segmentation
Submit to IEEE TIFS, still under review.
Project 0 of CS291A in 2023 Fall quarter. Aim to create a static web page based on github
Project 1 of CS291A in 2023 Fall quarter. Aim to learn and use the Ruby programming language
A pytorch implementation of "Towards Evaluating the Robustness of Neural Networks"
Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.
Crowd counting Code for IEEE Access paper "DA-Net: Learning the fine-grained density distribution with deformation aggregation network"
Image restoration with neural networks but without learning.
DeepRED: Deep Image Prior Powered by RED
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.