grseb9s Goto Github PK
Name: GRS
Type: Organization
Bio: Geosciences & Remote Sensing
Location: ECUT
Name: GRS
Type: Organization
Bio: Geosciences & Remote Sensing
Location: ECUT
Implementations of different matlab functions for research in hyperspectral data.
Image Classification using Convolutional Neural Nets and Keras. This classifier uses LeNet-5, a pioneering 7-level convolutional network by LeCun et al in 1998 that classifies digits.
Building an image classifier using keras
A simple image processing framework with a simple CLI for debugging
MATLAB and Neural Net toolbox to reconstruct 8bit grayscale images
Matlab & Neural Network toolbox to reconstruct images with missing data. Collaborated with Salil Deosthale
Image retrieval system demo based on caffe and lsh
Stitch two images by detecting blobs, using SIFT and RANSAC
imagetiler breaks up images into smaller tiles, suitable for use with Google Maps.
Python module to perform under sampling and over sampling with various techniques.
Matlab implementation of Implicit mixtures of Conditional Restricted Boltzmann Machines.
Image Fusion MATLAB Toolbox
Image Georectification and Feature Tracking toolbox for MATLAB
Code to generate the paper 'Implicitly Constrained Linear DIscriminant Analysis'
Code for paper "Robust Semi-supervised Least Squares Classification by Implicit Constraints"
Digital Micrograph plugin to import Ripple files
A wide-ranging suite of IDL routines which observational extragalactic astronomers may find useful.
Code to accompany the paper "Improving Cross-Validation Based Classifier Selection using Meta-Learning"
IMTSL - Incremental and Multi-feature Tensor Subspace Learning
Implementation of Google's Inception + ResNet v2 architecture in Keras
Inception-v4, Inception - Resnet-v1 and v2 Architectures in Keras
This MATLAB package implements the methods for exact incremental/decremental SVM learning, regularization parameter perturbation and kernel parameter perturbation presented in "SVM Incremental Learning, Adaptation, and Optimization" by Christopher Diehl and Gert Cauwenberghs.
Incremental regularized least squares for multiclass classification with recoding, extension to new classes and fixed update complexity.
Mirror of Apache MADlib (Incubating)
LBP+ELM应用于高光谱的分类器
HyperSpectral Image Classification
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.