Pinned Repositories
apparent
Analyzing Patient Physician Network Topology
curvature-filtrations
Curvature Filtrations for Graph Generative Model Evaluation
dect-evaluation
Differentiable Euler Characteristic Transform
DONUT
DONUT: Database of Original and Non-Theoretical Applications of Topology
neural-k-forms
Simplicial Representation Learning with Neural k-Forms
node2vec-surprises
Code for "On the Surprising Behaviour of node2vec"
orchid
Ollivier-Ricci Curvature for Hypergraphs: A Unified Framework (ICLR 2023)
Presto
Mapping the Multiverse of Latent Representations (ICML 2024)
pytorch-topological
A topological machine learning framework based on PyTorch
TARDIS
TARDIS: Topological Algorithms for Robust DIscovery of Singularities
AIDOS Lab's Repositories
aidos-lab/pytorch-topological
A topological machine learning framework based on PyTorch
aidos-lab/TARDIS
TARDIS: Topological Algorithms for Robust DIscovery of Singularities
aidos-lab/dect-evaluation
Differentiable Euler Characteristic Transform
aidos-lab/orchid
Ollivier-Ricci Curvature for Hypergraphs: A Unified Framework (ICLR 2023)
aidos-lab/DONUT
DONUT: Database of Original and Non-Theoretical Applications of Topology
aidos-lab/neural-k-forms
Simplicial Representation Learning with Neural k-Forms
aidos-lab/curvature-filtrations
Curvature Filtrations for Graph Generative Model Evaluation
aidos-lab/Presto
Mapping the Multiverse of Latent Representations (ICML 2024)
aidos-lab/apparent
Analyzing Patient Physician Network Topology
aidos-lab/node2vec-surprises
Code for "On the Surprising Behaviour of node2vec"
aidos-lab/aidos-lab.github.io
aidos-lab/dect
Differentiable Euler Characteristic Transform
aidos-lab/diffusion-condensation-filtrations
aidos-lab/filtration_surfaces
aidos-lab/oineus
aidos-lab/.github
aidos-lab/dotfiles
Some "dotfiles" (helper scripts and configuration files) that are helpful for all lab members
aidos-lab/ripser
Ripser: efficient computation of Vietoris–Rips persistence barcodes
aidos-lab/rivet
RIVET is a tool for Topological Data Analysis, in particular two-parameter persistent homology.
aidos-lab/SHAPR_torch
SHAPR: Code for "Capturing Shape Information with Multi-Scale Topological Loss Terms for 3D Reconstruction"
aidos-lab/mantra
A dataset of manifold triangulations
aidos-lab/py-oineus
Python bindings for `oineus`