chriscamano

Randomized-Tensor-Train-research

Research conducted with Berkeley National Laboratory on randomized methods for eigenvalue computation

UMAP-and-PUMAP-research-

An investigation into the behavior of the umap-learn package and more

UDPACK

homecooked linear algebra package

871_project

A neural network training task

chriscamano.github.io

A simple and elegant Jekyll theme for an academic personal homepage

Formal_Lipschitz

Formalization of the proof for partial Lipschitz map extensions written in Lean4

Gaussian-Process-Regression-

Test implementation of Gaussian Process regression for predetermined sample function. Part 1 of 4 for Spring 2022 research at SFSU

linalg

An introduction to ealry linear algebra concepts using manim, numpy, and matplotlib

MNIST-classification-with-SVD

An SVD based classifier for MNIST digits

SVGD-from-scratch

TSNE-from-scratch

Implementation of TSNE using Jax python API as well as python implementation. Part 2 of 4 for Spring 2022 research at SFSU

umap

Uniform Manifold Approximation and Projection_rotation