A curated list of topological deep learning (TDL) resources and links.
-
Updated
Jun 4, 2024
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).
Notes for Haynes Miller's 18.905/906 courses
Computing homology groups of simplicial complexes
Extensive learning notes on mathematics
A repo for my Mathematica document files - mostly math research and fun
Der Satz von Serre über die Endlichkeit der Homotopiegruppen der Sphären (Bachelorarbeit)
Code related to low-dimensional topology
Mathematical Physics Course
Old version of spectralsequences package, see here: github.com/hoodmane/spectralsequences
A toolkit for discrete calculus.
Add a description, image, and links to the algebraic-topology topic page so that developers can more easily learn about it.
To associate your repository with the algebraic-topology topic, visit your repo's landing page and select "manage topics."