Stars
Cover learning with geometric optimization
Computations and statistics on manifolds with geometric structures.
Computational and Applied Topology List
Dimensionality Reduction with Eilenberg-MacLane Coordinates
The simplest, fastest repository for training/finetuning medium-sized GPTs.
A fast multi-core implementation of HDBSCAN for low dimensional Euclidean spaces
density-based clustering for exploratory data analysis based on multi-parameter persistence
Uber trip data from a freedom of information request to NYC's Taxi & Limousine Commission
Algorithmically create or extend categorical colour palettes
Implementation and computational examples of [Approximate and discrete Euclidean vector bundles. Scoccola, Perea].
Ripser: efficient computation of Vietoris–Rips persistence barcodes
A module for Python to perform similarity searches in a metric space
RIVET is a tool for Topological Data Analysis, in particular two-parameter persistent homology.
A high-performance topological machine learning toolbox in Python
A high performance implementation of HDBSCAN clustering.
Montlake contains tools for geometric data analysis. It includes vector field group lasso and basis pursuit methods for parametric manifold learning. It also contains differentiable shape featuriza…
A Lean formal proof of the Combinatorial Nullstellensatz