louaaron / TopologicalDeepLearningLinks
A collection of Topology Methods in Deep Learning
☆17Updated 5 years ago
Alternatives and similar repositories for TopologicalDeepLearning
Users that are interested in TopologicalDeepLearning are comparing it to the libraries listed below
Sorting:
- GitHub repository for the ICLR Computational Geometry & Topology Challenge 2021☆53Updated 3 years ago
- Papers on Topology + Learning.☆14Updated 5 years ago
- Code for the paper "Topological Autoencoders" by Michael Moor, Max Horn, Bastian Rieck, and Karsten Borgwardt.☆151Updated 3 years ago
- GitHub repository for the ICLR Computational Geometry & Topology Challenge 2021☆53Updated 3 years ago
- ☆63Updated 2 years ago
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆121Updated 2 years ago
- This repository implements and evaluates convolutional networks on the Möbius strip as toy model instantiations of Coordinate Independent…☆74Updated last year
- Vectorization of persistence diagrams and approximate Wasserstein distance☆28Updated 5 years ago
- Ripser++: GPU-accelerated computation of Vietoris–Rips persistence barcodes☆116Updated 2 years ago
- ☆35Updated 4 years ago
- Implementation of the PersLay layer for persistence diagrams☆84Updated 2 years ago
- A topological machine learning framework based on PyTorch☆195Updated last month
- Algorithms for computations on random manifolds made easier☆94Updated last year
- The essence of my research, distilled for reusability. Enjoy 🥃!☆71Updated last year
- This repository contains code for applying Riemannian geometry in machine learning.☆78Updated 4 years ago
- Code of our NeurIPS 2020 publication 'Uncovering the Topology of Time-Varying fMRI Data using Cubical Persistence'☆25Updated 5 years ago
- Distances and representations of persistence diagrams☆131Updated 3 weeks ago
- Pytorch implementation of VAEs for heterogeneous likelihoods.☆43Updated 3 years ago
- explanation / demos of topology concepts☆14Updated 3 years ago
- Manifold-learning flows (ℳ-flows)☆231Updated 5 years ago
- Code for "Generalised Implicit Neural Representations" (NeurIPS 2022).☆70Updated 2 years ago
- Code for JMLR paper ``Learning Representations of Persistence Barcodes``☆24Updated 5 years ago
- Integrate pytorch☆46Updated 4 years ago
- ICML 2020 Paper: Latent Variable Modelling with Hyperbolic Normalizing Flows☆54Updated 2 years ago
- Python-based persistent homology algorithms☆19Updated 2 years ago
- Simplicial neural networks (SNNs), a generalization of graph neural networks to data that live on a class of topological spaces called si…☆81Updated 4 years ago
- VAEs with Lie Group latent space☆99Updated 3 years ago
- Topological Graph Neural Networks (ICLR 2022)☆124Updated 3 years ago
- Deep learning made topological.☆90Updated last year
- This is the code related to the article 'Intrinsic persistent homology via density-based metric learning'☆10Updated 2 years ago