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Matt Piekenbrock

Hi! Iā€™m a computer scientist interested in geometric and topological data analysis, machine learning, & algorithm design.

Please don't hestitate to start an GH issue me if you have any installation or usage problems with any of my packages!

Matt Piekenbrock's Projects

adjclust icon adjclust

Adjacency-constrained hierarchical clustering of a similarity matrix

bayesianml icon bayesianml

Bayesian Equivalents to popular Machine Learning algorithms

blog_comments icon blog_comments

issue tracker for peekxc.github.io blog comments via utterances.es

clustertree icon clustertree

A standalone, scalable, and extensible R package for estimating the empirical cluster tree.

combin icon combin

Lightweight implementation of various routines known in combinatorics

cover-tree icon cover-tree

A well-documented C++ implementation of the cover tree datastructure for quick k-nearest-neighbor search. Allows single-point insertion and removal. Uses templates.

coverr icon coverr

Provides a few covering methods for point cloud data

dart icon dart

Tools for simulating dynamic persistence

ggtda icon ggtda

ggplot-2 compatible package to visualize persistent homology.

indexedmapper icon indexedmapper

Source code for efficiently computing Mapper at multiple scales

landmark icon landmark

procedures to generate landmark sets from finite metric spaces

landmark-py icon landmark-py

Finds 'landmarks' via metric k-center approximations

lapack_mre icon lapack_mre

MRE Python package for cross-platform linking LAPACK/BLAS

mapper icon mapper

R package for computing the Mapper construction from Topological Data Analysis

move_schedules icon move_schedules

Collection of scripts and source material for reproducing experiments for Move Schedules paper

pixiplex icon pixiplex

R package for visualizing and interacting with simplicial complexes

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