ximenafernandez / intrinsicPH
This is the code related to the article 'Intrinsic persistent homology via density-based metric learning'
☆10Updated last year
Related projects ⓘ
Alternatives and complementary repositories for intrinsicPH
- Python-based persistent homology algorithms☆18Updated last year
- GitHub repository for the ICLR Computational Geometry & Topology Challenge 2021☆50Updated 2 years ago
- Code for computing Hypergraph Co-Optimal Transport distances☆15Updated last year
- ☆45Updated last year
- The essence of my research, distilled for reusability. Enjoy 🥃!☆61Updated 3 months ago
- Code for JMLR paper ``Learning Representations of Persistence Barcodes``☆23Updated 4 years ago
- Topological Signal Processing in Python☆23Updated 2 weeks ago
- Persistence differentiation with Gudhi and Tensorflow☆18Updated last year
- A python package for computing Persistence Curves☆19Updated 3 years ago
- ☆16Updated last year
- [NeurIPS2023,ICML2024] Multiparameter Persistence for Machine Learning☆15Updated last week
- Python functions to compute multiparameter persistence landscapes from a RIVET file☆11Updated 4 months ago
- Software demonstrations for a course on Topological Data Analysis.☆12Updated 3 years ago
- GitHub repository for the ICLR Computational Geometry & Topology Challenge 2021☆52Updated 2 years ago
- Code of our NeurIPS 2020 publication 'Uncovering the Topology of Time-Varying fMRI Data using Cubical Persistence'☆22Updated 4 years ago
- ☆27Updated 5 years ago
- This code accompanies the paper "Persistence Images: A Stable Vector Representation of Persistent Homology".☆42Updated 4 years ago
- ☆10Updated 2 years ago
- Synthetic data sets apt for Topological Data Analysis☆34Updated 4 months ago
- package for ATOL: Automatic Topologically-Oriented Learning☆24Updated 2 years ago
- Combining smooth constraint for building DAG with normalizing flow in order to replace autoregressive transformations while keeping tract…☆44Updated last year
- ChebLieNet, a spectral graph neural network turned equivariant by Riemannian geometry on Lie groups.☆15Updated 3 months ago
- Differentiable Euler Characteristic Transform☆17Updated 5 months ago
- Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper☆35Updated 4 years ago
- Statistics on the space of asymmetric networks via Gromov-Wasserstein distance☆13Updated 4 years ago
- Graph matching and clustering by comparing heat kernels via optimal transport.☆23Updated last year
- A set of jupyter notebooks for the practice of TDA with the python Gudhi library together with popular machine learning and data sciences…☆28Updated 9 months ago
- Simplicial neural networks (SNNs), a generalization of graph neural networks to data that live on a class of topological spaces called si…☆74Updated 3 years ago
- High performance implementation of Vietoris-Rips persistence.☆43Updated 5 months ago
- Automatic differentiation through persistence diagrams with PyTorch☆15Updated 5 months ago