Kevin Moon Research Lab

Code for the methods developed in our lab

United States of America

Pinned Repositories

DIG
Dynamical Information Geometry (DIG) for visualizing high-dimensional dynamical processes
Language:Jupyter Notebook1 1 00
EnDive
KDE-based ensemble divergence estimator
Language:MATLAB1 0 00
FIG
Language:Jupyter Notebook00
GRAE
Geometry Regularized Autoencoders (GRAE) for large-scale visualization and manifold learning
Language:Jupyter Notebook19 2 1010
PF-GAP
Language:Java00
PHATE
PHATE (Potential of Heat-diffusion for Affinity-based Transition Embedding) is a tool for visualizing high dimensional data.
0 1 00
RF-GAP
Random Forest Geometry- and Accuracy-Preserving proximities
Language:R2 0 00
RF-PHATE
Supervised visualization of high-dimensional data using random forests
3 1 10
STAT-6685
Starter code for STAT/CS 6685 at Utah State University (USU)
Language:Jupyter Notebook06

Kevin Moon Research Lab's Repositories

KevinMoonLab/GRAE
Geometry Regularized Autoencoders (GRAE) for large-scale visualization and manifold learning
Language:Jupyter Notebook19 2 1010
KevinMoonLab/RF-PHATE
Supervised visualization of high-dimensional data using random forests
3 1 10
KevinMoonLab/RF-GAP
Random Forest Geometry- and Accuracy-Preserving proximities
Language:R2 0 00
KevinMoonLab/DIG
Dynamical Information Geometry (DIG) for visualizing high-dimensional dynamical processes
Language:Jupyter Notebook1 1 00
KevinMoonLab/EnDive
KDE-based ensemble divergence estimator
Language:MATLAB1 0 00
KevinMoonLab/FIG
Language:Jupyter Notebook00
KevinMoonLab/PF-GAP
Language:Java00
KevinMoonLab/PHATE
PHATE (Potential of Heat-diffusion for Affinity-based Transition Embedding) is a tool for visualizing high dimensional data.
0 1 00
KevinMoonLab/STAT-6685
Starter code for STAT/CS 6685 at Utah State University (USU)
Language:Jupyter Notebook06