martinroyer / atolLinks
package for ATOL: Automatic Topologically-Oriented Learning
☆24Updated 6 months ago
Alternatives and similar repositories for atol
Users that are interested in atol are comparing it to the libraries listed below
Sorting:
- Synthetic data sets apt for Topological Data Analysis☆36Updated last week
- Implementation of the PersLay layer for persistence diagrams☆84Updated last year
- ☆44Updated 2 years ago
- Topological Data Analysis in Python: Simplicial Complex☆123Updated 3 weeks ago
- Persistence differentiation with Gudhi and Tensorflow☆19Updated last year
- High performance implementation of Vietoris-Rips persistence.☆51Updated last year
- Python library for multipersistence☆31Updated last week
- Python functions to compute multiparameter persistence landscapes from a RIVET file☆13Updated last year
- The essence of my research, distilled for reusability. Enjoy 🥃!☆69Updated last year
- Open source library for combining TDA and Machine Learning☆85Updated last year
- This is the code related to the article 'Intrinsic persistent homology via density-based metric learning'☆10Updated 2 years ago
- Distances and representations of persistence diagrams☆131Updated last week
- Topological Signal Processing in Python☆33Updated last month
- Vectorization of persistence diagrams and approximate Wasserstein distance☆27Updated 5 years ago
- A python package for computing Persistence Curves☆19Updated 3 years ago
- RIVET is a tool for Topological Data Analysis, in particular two-parameter persistent homology.☆77Updated last year
- Graph matching and clustering by comparing heat kernels via optimal transport.☆27Updated 2 years ago
- This code accompanies the paper "Persistence Images: A Stable Vector Representation of Persistent Homology".☆43Updated 4 years ago
- ☆32Updated 6 years ago
- GitHub repository for the ICLR Computational Geometry & Topology Challenge 2021☆51Updated 3 years ago
- Topological Data Analysis Routines☆147Updated last week
- Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper☆36Updated 5 years ago
- Code for the paper "Topological Autoencoders" by Michael Moor, Max Horn, Bastian Rieck, and Karsten Borgwardt.☆150Updated 3 years ago
- Deep learning made topological.☆84Updated last year
- Mapper implementation (Topological Data Analysis) in Python☆64Updated 7 years ago
- Python-based persistent homology algorithms☆19Updated 2 years ago
- density-based clustering for exploratory data analysis based on multi-parameter persistence☆41Updated last month
- Simplicial neural networks (SNNs), a generalization of graph neural networks to data that live on a class of topological spaces called si…☆79Updated 4 years ago
- Code for computing Hypergraph Co-Optimal Transport distances☆16Updated 2 years ago
- PDF and notebooks of GUDHI presentation @ NIPS 2017☆14Updated 7 years ago