A curated list of topological deep learning (TDL) resources and links.
Effective Algebraic Topology in Haskell
RIVET is a tool for Topological Data Analysis, in particular two-parameter persistent homology.
A repackaged version of the Kenzo program by Francis Sergeraert and collaborators.
Code for the paper 'Neural Persistence: A Complexity Measure for Deep Neural Networks Using Algebraic Topology'
Notes from Andrew Blumberg's class on equivariant homotopy theory
Python bindings and API for the flagser C++ library (https://github.com/luetge/flagser).
Latex package to print spectral sequence diagrams using pgf/tikz.
R package porting Ripser-based persistent homology calculation engines from C++ via Rcpp. Currently ports Ripser (Vietoris-Rips complex) and Cubical Ripser (cubical complex).
A repo for my Mathematica document files - mostly math research and fun
Notes for Haynes Miller's 18.905/906 courses
Computing homology groups of simplicial complexes
Der Satz von Serre über die Endlichkeit der Homotopiegruppen der Sphären (Bachelorarbeit)
Extensive learning notes on mathematics
Package for computing topological approximation using Persistent Homology in various settings.
Mathematical Physics Course
A toolkit for discrete calculus.
Code related to low-dimensional topology
Old version of spectralsequences package, see here: github.com/hoodmane/spectralsequences
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