Nathaniel Saul's repositories
smith-normal-form
Simple module for computing Smith Normal Form of a numpy array over Z_2
cyclonysus
Easy representative cycles builder for Dionysus
kepler-mapper
Python implemention of Mapper for visualizing structure and shape of high-dimensional data.
configure-aws-credentials
Configure AWS credential environment variables for use in other GitHub Actions.
umap-learn-feedstock
A conda-smithy repository for umap-learn.
mapper_comparison
Code for paper Mapper Comparison with Wasserstein Metrics
nr1-workshop
Self-paced training workshop for the NR1 CLI/SDK
rst-cheatsheet
A two-page cheatsheet for restructured text
scikit-learn
scikit-learn: machine learning in Python
scikit-tda
Topological Data Analysis for humans
staged-recipes
A place to submit conda recipes before they become fully fledged conda-forge feedstocks
docker-python
Kaggle Python docker image
nn_robust_attacks
Robust evasion attacks against neural network to find adversarial examples
react-d3-graph
Interactive and configurable graphs with react and d3 effortlessly
sauln.github.io
My personal website and blog.
scipy-2019
Presentation and replication for my Scipy 2019 talk
visual-tda
R code associated with preprint proposing flat persistence diagram for better visualization of persistent homology.