JustinBakerMath

Graduate student in Applied Mathematics at the University of Utah.

University of UtahUT, USA

Pinned Repositories

Analysis-of-Large-Scale-Molecular-Datasets-with-Python
Distributed computing workflow for generation and analysis of large scale molecular datasets using DFTB+ for ground-state and excited-state properties
Language:Python00
conf
Language:Shell00
GT_proj
Language:Jupyter Notebook11
homogenize
Language:Python10
HydraGNN
Distributed PyTorch implementation of multi-headed graph convolutional neural networks
Language:Python00
icerm_efficient_eigensolver
Summer@ICERM Project: Efficient eigensolver and their applications
Language:Python10
MathforDS
MATH 6880 - Math for Data Science
Language:HTML11
pod_hbnode
Language:Python22
proximal_node
Language:Jupyter Notebook21
MIGNN
Language:Python10

JustinBakerMath's Repositories

JustinBakerMath/pod_hbnode
Language:Python22
JustinBakerMath/proximal_node
Language:Jupyter Notebook21
JustinBakerMath/GT_proj
Language:Jupyter Notebook11
JustinBakerMath/homogenize
Language:Python10
JustinBakerMath/icerm_efficient_eigensolver
Summer@ICERM Project: Efficient eigensolver and their applications
Language:Python10
JustinBakerMath/MathforDS
MATH 6880 - Math for Data Science
Language:HTML11
JustinBakerMath/Analysis-of-Large-Scale-Molecular-Datasets-with-Python
Distributed computing workflow for generation and analysis of large scale molecular datasets using DFTB+ for ground-state and excited-state properties
Language:Python00
JustinBakerMath/conf
Language:Shell00
JustinBakerMath/HydraGNN
Distributed PyTorch implementation of multi-headed graph convolutional neural networks
Language:Python00
JustinBakerMath/robust_lens
Language:Python