guoyang-xie Goto Github PK
Name: Guoyang Xie
Type: User
Bio: PhD, NICE Group, University of Surrey
Location: Surrey, Guildford, UK
Name: Guoyang Xie
Type: User
Bio: PhD, NICE Group, University of Surrey
Location: Surrey, Guildford, UK
Official Implementation for the "An Empirical Investigation of 3D Anomaly Detection and Segmentation" paper.
Implementation of a Conditional Variational Auto-Encoder GAN in pytorch
Source code for ICLR 2018 Paper: Active Learning for Convolutional Neural Networks: A Core-Set Approach
[ICCV 2019 oral] Code for Semi-Supervised Learning by Augmented Distribution Alignment
ADRepository: Real-world anomaly detection datasets
Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere.
Anomaly detection on images using features from pretrained neural networks.
An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
Anomaly detection related books, papers, videos, and toolboxes
ATOM3D: tasks on molecules in three dimensions
Au Naturel is a LaTeX template built on top of the standard article class, roughly emulating some characteristics of the Nature Publishing Group journals.
A tensorflow implementation of VAE-GAN. This is the first approach which viewed the discriminator as a loss function to improve.
Generative image model with learned similarity measures
A curated list of awesome anomaly detection resources
Research repo for AI aided drug discovery, de novo drug development and related topics
Latex CV template built with Font Awesome.
A list of papers about point clouds registration
TEAM: Aasha, Ronak, Chinmay, Manmeet
#BRATS2015 #BRATS2018 #deep learning #fully automatic brain tumor segmentation #U-net # tensorflow #Keras
Codes and pretrained weights for winning submission of 2021 Brain Tumor Segmentation (BraTS) Challenge
Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning
Contrastive Attributed Network Anomaly Detection with Data Augmentation (PAKDD'22)
Hands on Contractive Autoencoder
Code for the paper "Training GANs with Stronger Augmentations via Contrastive Discriminator" (ICLR 2021)
ConvMAE: Masked Convolution Meets Masked Autoencoders
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.