aidos-lab Goto Github PK

.github

apparent

Analyzing Patient Physician Network Topology

cfggme

Curvature Filtrations for Graph Generative Model Evaluation

dect

Differentiable Euler Characteristic Transform

diffusion-condensation-filtrations

donut

DONUT: Database of Original and Non-Theoretical Applications of Topology

dotfiles

Some "dotfiles" (helper scripts and configuration files) that are helpful for all lab members

embedeq

Determining hyperparameter equivalency classes for dimensionality reduction algorithms based on the topology of the embedding space.

filtration_surfaces

neural-k-forms

Simplicial Representation Learning with Neural k-Forms

node2vec-surprises

Code for "On the Surprising Behaviour of node2vec"

oineus

orchid

Ollivier-Ricci Curvature for Hypergraphs: A Unified Framework (ICLR 2023)

py-oineus

Python bindings for `oineus`

pytorch-topological

A topological machine learning framework based on PyTorch

ripser

Ripser: efficient computation of Vietoris–Rips persistence barcodes

rivet

RIVET is a tool for Topological Data Analysis, in particular two-parameter persistent homology.

shapr_torch

SHAPR: Code for "Capturing Shape Information with Multi-Scale Topological Loss Terms for 3D Reconstruction"

tardis

TARDIS: Topological Algorithms for Robust DIscovery of Singularities

tequal

Topological Equivalency classes for Understanding Autoencoder Latent Spaces