chriscamano

Currently completing: - Bachelor's of Science: Computer Science - Bachelor's of Arts Pure Mathematics

San Francisco

Pinned Repositories

871_project
A neural network training task
Language:Jupyter Notebook00
chriscamano.github.io
A simple and elegant Jekyll theme for an academic personal homepage
Language:SCSS00
Formal_Lipschitz
Formalization of the proof for partial Lipschitz map extensions written in Lean4
Language:Lean0 2 00
Gaussian-Process-Regression-
Test implementation of Gaussian Process regression for predetermined sample function. Part 1 of 4 for Spring 2022 research at SFSU
Language:Jupyter Notebook00
linalg
An introduction to ealry linear algebra concepts using manim, numpy, and matplotlib
Language:Jupyter Notebook00
MNIST-classification-with-SVD
An SVD based classifier for MNIST digits
Language:Jupyter Notebook00
Randomized-Tensor-Train-research
Research conducted with Berkeley National Laboratory on randomized methods for eigenvalue computation
Language:HTML30
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
Language:Jupyter Notebook00
UDPACK
homecooked linear algebra package
Language:C++11
UMAP-and-PUMAP-research-
An investigation into the behavior of the umap-learn package and more
Language:Jupyter Notebook20

chriscamano/Randomized-Tensor-Train-research
Research conducted with Berkeley National Laboratory on randomized methods for eigenvalue computation
Language:HTML30
chriscamano/UMAP-and-PUMAP-research-
An investigation into the behavior of the umap-learn package and more
Language:Jupyter Notebook20
chriscamano/UDPACK
homecooked linear algebra package
Language:C++11
chriscamano/871_project
A neural network training task
Language:Jupyter Notebook00
chriscamano/chriscamano.github.io
A simple and elegant Jekyll theme for an academic personal homepage
Language:SCSS00
chriscamano/Formal_Lipschitz
Formalization of the proof for partial Lipschitz map extensions written in Lean4
Language:Lean0 2 00
chriscamano/Gaussian-Process-Regression-
Test implementation of Gaussian Process regression for predetermined sample function. Part 1 of 4 for Spring 2022 research at SFSU
Language:Jupyter Notebook00
chriscamano/linalg
An introduction to ealry linear algebra concepts using manim, numpy, and matplotlib
Language:Jupyter Notebook00
chriscamano/MNIST-classification-with-SVD
An SVD based classifier for MNIST digits
Language:Jupyter Notebook00
chriscamano/SVGD-from-scratch
00
chriscamano/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
Language:Jupyter Notebook00
chriscamano/umap
Uniform Manifold Approximation and Projection_rotation