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).
Package for computing topological approximation using Persistent Homology in various settings.
A repo for my Mathematica document files - mostly math research and fun
Notes for Haynes Miller's 18.905/906 courses
A toolkit for discrete calculus.
Der Satz von Serre über die Endlichkeit der Homotopiegruppen der Sphären (Bachelorarbeit)
Code related to low-dimensional topology
Extensive learning notes on mathematics. Now hosted at https://git.sr.ht/~presheaf/deep-dive
Mathematical Physics Course
Computing homology groups of simplicial complexes
The code for PRE paper titled "Persistent Homology for Structural Characterization in Disordered Systems"
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