grseb9s Goto Github PK
Name: GRS
Type: Organization
Bio: Geosciences & Remote Sensing
Location: ECUT
Name: GRS
Type: Organization
Bio: Geosciences & Remote Sensing
Location: ECUT
Toolkit for optimization under uncertainty
Using interactive plots in Python to help readers make more sense of uncertainty in data samples.
Underwater Image Processing Toolbox
unet for image segmentation
U-Net model for Keras
A concise code for training and evaluating Unet using tensorflow+keras
Implementation of U-Net architecture using Pytorch
A toolbox for validating the data and execution of scripts for any project.
A Matlab convex optimization toolbox using proximal splitting methods
Unsupervised Anomaly Detection with Generative Adversarial Networks on MIAS dataset
Unsupervised Blind Image Quality Assessment. This model doesn't use a reference image and also labels to perform quality assessment of images.
Capsule network with variations. Originally proposed by Tieleman & Hinton : http://www.cs.toronto.edu/~tijmen/tijmen_thesis.pdf
Implementation of k-means and Fuzzy c-means algorithm on Iris Data Set and Image, Akaike and Bayesian Information Criterion, Self Optimising Map, Mean Shift Clustering
Unsupervised muti-metric fusion for Full-Reference (FR) Image Quality Assessment (IQA)
Research on unsupervised anomaly detection: SOD vs One Class SVM
Extension to unsupervised hyperspectral clustering
This repository tries to provide unsupervised deep learning models with Pytorch
It's my university project. The main topic is Hyperspectral image compression based on SPIHT-3D algorithm
An introduction to uncertainty quantification
Introduction to Uncertainty Quantification
Uncertainty quantification book chapter
Matlab code for uncertainty quantification of stochastic ODEs.
Scripts and related materials for Uncertainty in Geo-science A Workshop on Hazard Analysis
Software for the paper "Bayesian Solution Uncertainty Quantification for Differential Equations" by Chkrebtii, Campbell, Calderhead, Girolami
Code for constructing the urban environments dataset and for land use classification via convolutional neural networks
A land use model based on Cellular Automata and Agent-based modelling.
DCNN model for predicting six urban perceptions
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.