Maxyte

JHU SoM RA, JHU AMS PhD Student

Johns Hopkins University

Pinned Repositories

UQ_PhysiCell
The goal of this package is to perform uncertainty quantification across the entire input space of PhysiCell models (including parameters, initial conditions, and rules) using either a single desktop or high-throughput computing.
Language:Python10
breastcancer-hypoxia
Language:C++00
CoGAPS
Bayesian MCMC matrix factorization algorithm
Language:C++00
Fury-PhysiCell
Language:Python00
maxbmath
Personal Quartz Website
Language:TypeScript00
physicell-cortex-rules
Language:C++00
python-loader
Python data loader for PhysiCell digital snapshots
Language:Python10

Maxyte's Repositories

Maxyte/python-loader
Python data loader for PhysiCell digital snapshots
Language:Python10
Maxyte/breastcancer-hypoxia
Language:C++00
Maxyte/CoGAPS
Bayesian MCMC matrix factorization algorithm
Language:C++00
Maxyte/Fury-PhysiCell
Language:Python00
Maxyte/maxbmath
Personal Quartz Website
Language:TypeScript00
Maxyte/physicell-cortex-rules
Language:C++00