jianzhuwang Goto Github PK
Name: Jianzhu Wang
Type: User
Location: Beijing
Blog: jianzhuwang.github.io
Name: Jianzhu Wang
Type: User
Location: Beijing
Blog: jianzhuwang.github.io
A simple generator for parametrically varied 2d shape stimuli
对抗自编码器(Pytorch)
A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.
An optimizer that trains as fast as Adam and as good as SGD.
ADN: Artifact Disentanglement Network for Unsupervised Metal Artifact Reduction
PyTorch implementation of paper: adVAE: a Self-adversarial Variational Autoencoder with Gaussian Anomaly Prior Knowledge for Anomaly Detection
Auto-Encoding Transformations (AETv1), CVPR 2019
Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
Pytorch implementation of "Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery"
Image augmentation library in Python for machine learning.
Auto-encoder on torch - trying out the various AEs
Convolutional Autoencoder with SetNet in PyTorch
Pytorch implementations of various types of autoencoders
PyTorch Implementation of Autoencoding Beyond Pixels Using A Learned Similarity Metric
Generative image model with learned similarity measures
A comprehensive list of awesome contrastive self-supervised learning papers.
This repo is developed for evaluating binary image segmentation results. Measures, such as MAE, Precision, Recall, F-measure, PR curves and F-measure curves are included.
Add bisenetv2. My implementation of BiSeNet
Official PyTorch code for WACV 2022 paper "CFLOW-AD: Real-Time Unsupervised Anomaly Detection with Localization via Conditional Normalizing Flows"
PyTorch implementation of [Context Encoders: Feature Learning by Inpainting
Pixel-wise Crack Detection Using Deep Local Pattern Predictor for Robot Application
deep learning for image processing including classification and object-detection etc.
A collection of various deep learning architectures, models, and tips
A PCB defect dataset.
A Pytorch implementation of DeepCrack and RoadNet projects.
DefectSegNet for semantic segmentation of defects in Steels
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.