shanegladson

PyMCGE

Report written for a final project in a course on Monte Carlo simulation methods. This covers gradient estimation for objective functions when the parameters of the underlying distribution are unknown. Applications to machine learning are discussed.

MidgePy

IB2d

An easy to use immersed boundary method in 2D, with full implementations in MATLAB and Python that contains over 60 built-in examples, including multiple options for fiber-structure models and advection-diffusion, Boussinesq approximations, and/or artificial forcing.

Planktos

ABM framework for dispersal modeling

Agent-Based-Modeling-Movement

Agent-Based Modeling Practice

MCM-Code

The python notebooks I used to solve the ODEs in the 2021 MCM Problem A

Numerical-Methods

A library for implementations of multiple numerical methods techniques written in C++.

MidgePy

An agent-based model of biting midge dynamics to understand Bluetongue outbreaks

shanegladson/PyMCGE

Report written for a final project in a course on Monte Carlo simulation methods. This covers gradient estimation for objective functions when the parameters of the underlying distribution are unknown. Applications to machine learning are discussed.

shanegladson/Numerical-Methods

A library for implementations of multiple numerical methods techniques written in C++.

shanegladson/Planktos

ABM framework for dispersal modeling

shanegladson/MidgePy

shanegladson/IB2d

An easy to use immersed boundary method in 2D, with full implementations in MATLAB and Python that contains over 60 built-in examples, including multiple options for fiber-structure models and advection-diffusion, Boussinesq approximations, and/or artificial forcing.

shanegladson/MCM-Code

The python notebooks I used to solve the ODEs in the 2021 MCM Problem A

shanegladson/Agent-Based-Modeling-Movement

Agent-Based Modeling Practice