Machine Learning

MNIST Variational Autoencoder
A simple variational autoencoder trained on MNIST. Theory and code included.
MNIST Variational Autoencoder
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.
Clustering Algorithm Demo
SOP For Performig BLR in Python
A standard operating procedure for performing Bayesian linear regresssion, in python, from scratch.
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SOP For Performig BLR in Python
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
A Gaussian Process Classifier Made From Scratch, in PyTorch