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).
R package porting Ripser-based persistent homology calculation engines from C++ via Rcpp. Currently ports Ripser (Vietoris-Rips complex) and Cubical Ripser (cubical complex).
Latex package to print spectral sequence diagrams using pgf/tikz.
PETLS: Persistent Topological Laplacian Software
A toolkit for discrete calculus.
Package for computing topological approximation using Persistent Homology in various settings.
Notes for Haynes Miller's 18.905/906 courses
A repo for my Mathematica document files - mostly math research and fun
A self-contained python library designed to apply Mathematical Surgery Theory over Manifolds.
Der Satz von Serre über die Endlichkeit der Homotopiegruppen der Sphären (Bachelorarbeit)
Extensive learning notes on mathematics. Now hosted at https://git.sr.ht/~luizmugnaini/deep-dive
Code related to low-dimensional topology: Algorithms for Computing Invariants of Trisected Branched Covers and bounds for the Casson-Whitney Unknotting Number.
Mathematical Physics Course
Computing homology groups of simplicial complexes
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