Name: Andrew Shao
Type: User
Company: Hewlett Packard Enterprise
Bio: Senior Software (Systems) Engineer
Bringing new tools to the community that accelerates the convergence of HPC simulations and AI/ML
Location: Victoria, BC, Canada
Andrew Shao's Projects
Repository for students submitting homework
A python module for reading and loading in bottle data downloaded from CCHDO
The Community Earth System Model
CESM shared code
Initial forays into using Chapel for climate model analysis
Common Infrastructure for Modeling the Earth
Source code for the General Ocean Turbulence Model
This repository is an AI Bootcamp material that consist of a workflow for LLM
GFDL's Flexible Modeling System
Machine learned parameterization (Guillaumin and Zanna, 2021) implemented in MOM6 with Forpy
Initial public release of code, data, and model weights for FourCastNet
Tools for manipulating and creating netCDF inputs for FMS managed models
Perform analysis of GLODAP aggregated bottle date
Fork of gnome-settings-daemon from gnome with endless customizations
Jupyter Lab Port Forwarding Utility
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
Marine Biogeochemistry Library
Matlab routines for PhD
Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods
The Modular Ocean Model
Modular Ocean Model
Example configurations for MOM6 and SIS2
f90wrapped MOM6 remapping core
Contains SmartRedis integrations into MOM6 for various machine learning and visualization tasks
Tutorial for MOM6 including practical examples of source code modification
Contains scripts that analyze and plot output from various configurations of GFDL's MOM6