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Sheffield Machine Learning Software (ML@SITraN)

Login: SheffieldML

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Blog: http://sheffieldml.github.io

Members

Repositories

biglasso: Matlab code for the Bigraphical Lasso
ChainedGP: Repository for Chained Gaussian Processes
collab: Collaborative filtering with the GP-LVM
datasets: MATLAB datasets repository.
deepGP: Deep Gaussian Processes in matlab
deepGPy: Deep GPs with GPy
disimrank: Gene target ranking by driven input single input motif Matlab code.
drawing: MATLAB tools for drawing (originally with image labelling in mind).
envGPLVM: PANAMA and LIMMI models
fgplvm: Faster GP-LVM software in MATLAB.
forkedGPmat: Recreation of the GPmat repo locally in preparation for fork.
gp: Gaussian process software in MATLAB.
GPc: Gaussian process code in C++ including some implementations of GP-LVM and IVM.
GPclust: Collapsed Variational Bayes
GPmat: Matlab implementations of Gaussian processes and other machine learning tools.
gprege: Gaussian process software in R and Matlab for detecting quiet genes. From Alfredo Kalaitzis's thesis work.
gprege-1: Gaussian Processes for the Ranking and Estimation of Gene Expression
gpsim: Gaussian Process Single Input Motif software in MATLAB.
gptk: Gaussian processes tool-kit: An R package for GP regression.
GPy: Gaussian processes framework in python
GPyOpt: Gaussian Process Optimization using GPy
hgplvm: Hierarchical Gaussian process latent variable model.
hsvargplvm: Deep Gaussian Process software in MATLAB.
ivm: MATLAB software for the Informative Vector Machine.
KalaitzisThesis: LaTex source files of my PhD thesis. Matlab code will follow.
kappenball: Code for the Kappenball game and other code from my 2012 lecture on uncertainty.
kern: Kernel toolbox for MATLAB.
meu: Maximum Entropy Unfolding
mltools: Machine learning tools in MATLAB
mocap: Matlab software for processing motion capture files.
multigp: Multiple output Gaussian processes in MATLAB including the latent force model.
nbviewer: Nbconvert as a webservice (rendering ipynb to static HTML)
ndlml: Legacy swig wrapper for GPc code used for collab experiments.
ndlutil: General utilities for MATLAB.
noise: Noise models implemented in MATLAB.
notebook: Collection of jupyter notebooks for demonstrating software.
optimi: MATLAB helper functions and constraint functions for optimization.
prior: prior distributions in MATLAB.
projects: Stores details of projects for the repo.
PyDeepGP: Deep Gaussian Processes in Python
rca: Residual Component Analysis
rochol: Rank one Cholesky update in MATLAB.
SGPLVM: Gaussian process latent variable models with shared latent spaces (SGPLVM)
sheffieldml.github.io: Machine Learning Group Webpage
TVB: A variational method that looks like EP
vargplvm: Bayesian GPLVM in MATLAB and R

This work is supported by the National Institutes of Health's National Center for Advancing Translational Sciences, Grant Number U24TR002306. This work is solely the responsibility of the creators and does not necessarily represent the official views of the National Institutes of Health.