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GRS's Projects

gp_emu_uqsa icon gp_emu_uqsa

Gaussian Process emulation for Uncertainty Quantification and Sensitivity Analysis

gr1c icon gr1c

a collection of tools for GR(1) synthesis and related activities

gradle icon gradle

Adaptable, fast automation for all

granular icon granular

Implementation of fuzzy c-means clustering algorithm in Matlab/Octave

graph-based-semi-supervised-learning icon graph-based-semi-supervised-learning

This project explores the different techniques (both scalable and non scalable) for Graph based semi supervised learning. Recent techniques such as ITML and LMNN along with a few others are empirically evaluated on the 20 newsgroups dataset.

graphmodel_credittest icon graphmodel_credittest

Solution to "Probabilistic Graphical Models Assignment #1: Introduction to Bayesian Networks".

graphviz4matlab icon graphviz4matlab

Matlab interface to Graphviz graph layout package. Allows interactive editing of the resulting graphs.

graphx-labelpropagation icon graphx-labelpropagation

An implementation of label propagation from the paper "Learning from labeled and unlabeled data with label propagation"

greatmaps icon greatmaps

GMap.NET - Great Maps for Windows Forms & Presentation

grtools icon grtools

R package for analysis of perceptual independence using general recognition theory

gscpy icon gscpy

:satellite: Sentinel-1 Pre-Processing in GRASS GIS

gsfcm icon gsfcm

A Generalized Spatial Fuzzy C-Means Clustering Algorithm

gspbox icon gspbox

Graph Signal Processing in Matlab

gurls icon gurls

GURLS: a Least Squares Library for Supervised Learning

gwr icon gwr

This is a repository for the geographically-weighted regression submodule of the Python Spatial Analysis Library

gym icon gym

A toolkit for developing and comparing reinforcement learning algorithms.

h2o-2 icon h2o-2

h2o = fast statistical, machine learning & math runtime for bigdata

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