danchern97 / RTD_AELinks
This is an official repository for "Learning topology-preserving data representations" presented at ICLR 2023 conference.
☆33Updated 2 years ago
Alternatives and similar repositories for RTD_AE
Users that are interested in RTD_AE are comparing it to the libraries listed below
Sorting:
- Code for the paper "Topological Autoencoders" by Michael Moor, Max Horn, Bastian Rieck, and Karsten Borgwardt.☆150Updated 3 years ago
- The essence of my research, distilled for reusability. Enjoy 🥃!☆71Updated last year
- [ICML 2022] Representation Topology Divergence: A Method for Comparing Neural Network Representations☆25Updated 3 years ago
- Ripser++: GPU-accelerated computation of Vietoris–Rips persistence barcodes☆116Updated 2 years ago
- A topological machine learning framework based on PyTorch☆192Updated 2 weeks ago
- Scalable python GPU solvers for fused unbalanced gromov-wasserstein optimal transport problems, with routines and examples to align brain…☆43Updated 4 months ago
- Persistence differentiation with Gudhi and Tensorflow☆19Updated 2 years ago
- GitHub repository for the ICLR Computational Geometry & Topology Challenge 2021☆52Updated 3 years ago
- A Python package for intrinsic dimension estimation☆93Updated last month
- Code of our NeurIPS 2020 publication 'Uncovering the Topology of Time-Varying fMRI Data using Cubical Persistence'☆25Updated 5 years ago
- [NeurIPS 2021] Manifold Topology Divergence: a Framework for Comparing Data Manifolds☆15Updated 3 years ago
- ☆28Updated last year
- RipsNet: a general architecture for fast and robust estimation of the persistent homology of point clouds☆22Updated 3 years ago
- This code implements sparse coding in PyTorch with GPU support.☆30Updated 4 years ago
- Multi-view-AE: An extensive collection of multi-modal autoencoders implemented in a modular, scikit-learn style framework.☆54Updated last year
- Python scripts for our model described in http://proceedings.mlr.press/v130/ramchandran21b.html☆15Updated 4 years ago
- PLLay: Efficient Topological Layer based on Persistence Landscapes☆21Updated 4 years ago
- [NeurIPS 2023] Riemannian Residual Neural Networks (https://arxiv.org/abs/2006.10254)☆22Updated last year
- Distances and representations of persistence diagrams☆131Updated this week
- Automatic differentiation through persistence diagrams with PyTorch☆17Updated last year
- Implementation of the PersLay layer for persistence diagrams☆84Updated 2 years ago
- High performance implementation of Vietoris-Rips persistence.☆54Updated last year
- ☆35Updated 4 years ago
- Data Augmentation with Variational Autoencoders (TPAMI)☆143Updated 3 years ago
- PyTorch implementation of "Neural Optimal Transport" (ICLR 2023 Spotlight)☆210Updated last year
- Statistics on the space of asymmetric networks via Gromov-Wasserstein distance☆15Updated 5 years ago
- Synthetic data sets apt for Topological Data Analysis☆36Updated this week
- Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport☆45Updated 2 years ago
- Official repository for the Topological Deep Learning Challenge 2024, organized by TAG-DS & PyT-Team and hosted by GRaM Workshop @ ICML 2…☆39Updated 8 months ago
- Hodge/Bochner Laplacians of simplicial complexes, their spectra, higher-order diffusion and random walks☆31Updated 2 years ago