butler-julie Goto Github PK

ccd

ccfellowship

dataexplorationandvisualization

A tutorial on data exploration and visualization creating for the 2024 APS March Meeting.

dsc340lecturenotes

dsecopbook

extrapolationwithml

A series of codes which use various machine learning algorithms to extrapolate physical data sets.

inputfiles

insightphysicsimmersionweek

This GitHub repository contains all teaching material relevant for the Physics Immersion week of the Insight program. Lecture notes at https://compphysics.github.io/InsightPhysicsImmersionWeek/docs/LectureNotes/_build/html/index.html

juliaprogramming

lnp936

Implementations of codes from LNP 936 in Python and C++

machine-learning-for-many-body-theory

A collection of machine learning programs for many-body methods

manybodyextrapolationswithbaysianmachinelearning

Relevant codes for poster presented at APS March Meeting 2024

multidimensionalregression

Codes for performing sequential regression extrapolation on a 2D data set

neuralnetworkeigenvaluesolver

Neural network for finding eigenvalues and eigenvectors of a matrix

parapdnni

pdnni

regressionextrapolation

Codes for teaching an REU machine learning class about extrapolating with regression algorithms

reu2021-regressionextrapolation

Codes for teaching an REU machine learning class on extrapolating with regression algorithms.

rnn-cc

sre

Sequential Regression Extrapolation (SRE): An accurate method of extrapolation using machine learning

summer2021

tatr-pairingmodel

Implementation of the T-Amplitude Tensor Representation (TATR) with the pairing model to find coupled-cluster correlation energies

theprofessorsmodule