Logan Ward's repositories
applied-ai-for-materials
Course materials for "Applied AI for Materials Science and Engineering"
ai-project-template
Project layout for efficient AI for science
bayesian-nest
Fit a statistical model to the HVAC performance of my house
coi-table-generator
Utility script for generating conflict of interest tables for grants
machine-learning-intro
Notebooks used to introduce scientists to machine learning
ml-quaternary-heuslers
Using machine learning to predict new quaternary Heusler materials
2019-nCoVdata
Repository to create Read the Docs pages listing datasets
birding-webpage
Display the birds I have photographed
COBOL
Chemistry Oriented Bayesian Optimization Library
COSMA
Distributed Communication-Optimal Matrix-Matrix Multiplication Algorithm
cp2k
Quantum chemistry and solid state physics software package
daisy-game
Website for the Daisy game
final-project-help-scripts
Scripts intended to help students in Applied AI for Materials with their final projects.
foundry
Simplifying the discovery and usage of machine-learning ready datasets in materials science and chemistry
funcX
funcX: High Performance Function Serving for Science
mace
MACE - Fast and accurate machine learning interatomic potentials with higher order equivariant message passing.
minimal-mpnn
A minimal message-passing neural network for molecular properties
pipeline_prototype
Pipeline prototyping
play-by-post-helper
A Bot to assist playing RPGs on Discord
progpy
The NASA Prognostic Python Packages is a Python framework focused on defining and building models and algorit for prognostics (computation of remaining useful life) of engineering systems, and provides a set of models and algorithms for select components developed within this framework, suitable for use in prognostic applications.
proxystore
Python Lazy Object Proxy Interface for Distributed Stores
torchani
Accurate Neural Network Potential on PyTorch