My Projects
Check out some of the past work I have done.
MNIST Variational Autoencoder
A simple variational autoencoder trained on MNIST. Theory and code included.
Path Integral Molecular Dynamics Tutorial
A tutorial on the theory and implementation of quantum simulation of many body systems.
Clustering Algorithm Demo
This was a class project I made for CS4964 Computational Geometry. It walks through the theory and code behind 4 popular clustering algorithms.
Functional Analysis Backing of Quantum Mechanics
These are my typed notes on the mathematics of quantum mechanics. These follow the lectures by Frederic Schuller.
SOP For Performig BLR in Python
A standard operating procedure for performing Bayesian linear regresssion, in python, from scratch.
A Gaussian Process Classifier Made From Scratch, in PyTorch
This explains how to create a GP Classifier with all the theory and code in PyTorch
Biography
Welcome to my website! I love machine learning and physics and I hope to combine them in novel ways.
- Probabilistic Machine Learning
- Gaussian Procceses
- Variational Inference
- Physically Derived Optimization
- Quantum Statistical Mechanics
- Liquid State Theory
B.Sc. Major in Computational Physics and Minor in Computer Science, 2023
University of Utah
Research Experience
Contact
Get in touch
- h.sully2015@gmail.com
- 801-641-9157
- 918 E 500 S Unit C, Salt Lake City, UT 84102