geomstats / challenge-iclr-2021Links
GitHub repository for the ICLR Computational Geometry & Topology Challenge 2021
☆51Updated 3 years ago
Alternatives and similar repositories for challenge-iclr-2021
Users that are interested in challenge-iclr-2021 are comparing it to the libraries listed below
Sorting:
- GitHub repository for the ICLR Computational Geometry & Topology Challenge 2021☆52Updated 3 years ago
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- Code for JMLR paper ``Learning Representations of Persistence Barcodes``☆24Updated 5 years ago
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆121Updated 2 years ago
- Vectorization of persistence diagrams and approximate Wasserstein distance☆28Updated 5 years ago
- Code of our NeurIPS 2020 publication 'Uncovering the Topology of Time-Varying fMRI Data using Cubical Persistence'☆25Updated 5 years ago
- ☆62Updated 2 years ago
- Ultrahyperbolic Representation Learning☆13Updated 5 years ago
- CO-Optimal Transport☆42Updated 4 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.☆150Updated 3 years ago
- ☆22Updated 3 years ago
- The essence of my research, distilled for reusability. Enjoy 🥃!☆71Updated last year
- ICML 2020 Paper: Latent Variable Modelling with Hyperbolic Normalizing Flows☆54Updated 2 years ago
- MMD, Hausdorff and Sinkhorn divergences scaled up to 1,000,000 samples.☆57Updated 6 years ago
- This repository implements and evaluates convolutional networks on the Möbius strip as toy model instantiations of Coordinate Independent…☆73Updated last year
- This code accompanies the paper "Persistence Images: A Stable Vector Representation of Persistent Homology".☆45Updated 5 years ago
- ☆17Updated 4 years ago
- Synthetic data sets apt for Topological Data Analysis☆36Updated 2 weeks ago
- Examples of more involved applications using Geomstats☆32Updated 4 years ago
- Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper☆37Updated 5 years ago
- A library for optimization on Riemannian manifolds☆112Updated 6 months ago
- This is the code related to the article 'Intrinsic persistent homology via density-based metric learning'☆10Updated 2 years ago
- Deep Graph Mapper: Seeing Graphs through the Neural Lens☆58Updated 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…☆80Updated 4 years ago
- Code for "Variational Autoencoder with Learned Latent Structure"☆34Updated 4 years ago
- Official repository for the ICLR 2022 paper "Evaluation Metrics for Graph Generative Models: Problems, Pitfalls, and Practical Solutions"…☆14Updated 3 years ago
- A Python implementation of Monge optimal transportation☆49Updated 2 years ago
- Repo reproducing experimental results in "Addressing the Topological Defects of Disentanglement"☆22Updated 3 years ago
- Official repository for our ICLR 2021 paper Evaluating the Disentanglement of Deep Generative Models with Manifold Topology☆36Updated 4 years ago