danchern97 / RTD_AELinks
This is an official repository for "Learning topology-preserving data representations" presented at ICLR 2023 conference.
☆35Updated 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.☆152Updated 3 years ago
- [ICML 2022] Representation Topology Divergence: A Method for Comparing Neural Network Representations☆25Updated 3 years ago
- The essence of my research, distilled for reusability. Enjoy 🥃!☆71Updated last year
- Ripser++: GPU-accelerated computation of Vietoris–Rips persistence barcodes☆120Updated 2 years ago
- A topological machine learning framework based on PyTorch☆198Updated last month
- GitHub repository for the ICLR Computational Geometry & Topology Challenge 2021☆54Updated 3 years ago
- Persistence differentiation with Gudhi and Tensorflow☆19Updated 2 years ago
- Code of our NeurIPS 2020 publication 'Uncovering the Topology of Time-Varying fMRI Data using Cubical Persistence'☆25Updated 5 years ago
- A Python package for intrinsic dimension estimation☆94Updated 2 months ago
- ☆28Updated last year
- [NeurIPS 2021] Manifold Topology Divergence: a Framework for Comparing Data Manifolds☆15Updated 3 years ago
- [NeurIPS 2023] Riemannian Residual Neural Networks (https://arxiv.org/abs/2006.10254)☆22Updated last year
- Scalable python GPU solvers for fused unbalanced gromov-wasserstein optimal transport problems, with routines and examples to align brain…☆46Updated 5 months ago
- Data Augmentation with Variational Autoencoders (TPAMI)☆143Updated 3 years ago
- ☆11Updated 3 years ago
- Multi-view-AE: An extensive collection of multi-modal autoencoders implemented in a modular, scikit-learn style framework.☆54Updated last year
- RipsNet: a general architecture for fast and robust estimation of the persistent homology of point clouds☆22Updated 3 years ago
- Implementation of the PersLay layer for persistence diagrams☆84Updated 2 years ago
- Synthetic data sets apt for Topological Data Analysis☆36Updated 2 weeks ago
- This code implements sparse coding in PyTorch with GPU support.☆30Updated 4 years ago
- Deep learning made topological.☆90Updated last year
- Official repository for the Topological Deep Learning Challenge 2024, organized by TAG-DS & PyT-Team and hosted by GRaM Workshop @ ICML 2…☆40Updated 9 months ago
- Distances and representations of persistence diagrams☆132Updated 2 weeks ago
- This is the code related to the article 'Intrinsic persistent homology via density-based metric learning'☆10Updated 2 years ago
- ☆178Updated 2 years ago
- Python-based persistent homology algorithms☆19Updated 2 years ago
- This code accompanies the paper "Persistence Images: A Stable Vector Representation of Persistent Homology".☆44Updated 5 years ago
- Python library for multiparameter persistence☆34Updated last month
- ☆45Updated 2 years ago
- Hyperbolic PCA via Horospherical Projections☆74Updated 2 years ago