Chen-Cai-OSU / Topology-and-LearningLinks
Papers on Topology + Learning.
☆14Updated 5 years ago
Alternatives and similar repositories for Topology-and-Learning
Users that are interested in Topology-and-Learning are comparing it to the libraries listed below
Sorting:
- GitHub repository for the ICLR Computational Geometry & Topology Challenge 2021☆51Updated 3 years ago
- VAEs with Lie Group latent space☆99Updated 3 years ago
- A collection of Topology Methods in Deep Learning☆17Updated 5 years ago
- ICML 2020 Paper: Latent Variable Modelling with Hyperbolic Normalizing Flows☆54Updated 2 years ago
- GitHub repository for the ICLR Computational Geometry & Topology Challenge 2021☆52Updated 3 years ago
- The essence of my research, distilled for reusability. Enjoy 🥃!☆69Updated last year
- Code for JMLR paper ``Learning Representations of Persistence Barcodes``☆24Updated 5 years ago
- ☆35Updated 4 years ago
- Code for the paper "Topological Autoencoders" by Michael Moor, Max Horn, Bastian Rieck, and Karsten Borgwardt.☆151Updated 3 years ago
- Implementation of the PersLay layer for persistence diagrams☆84Updated 2 years ago
- ☆274Updated 2 years ago
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆121Updated 2 years ago
- ☆70Updated 2 years ago
- Vectorization of persistence diagrams and approximate Wasserstein distance☆27Updated 5 years ago
- [ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).☆59Updated 4 years ago
- 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
- Notebooks for IPAM Tutorial, March 15 2019☆24Updated 6 years ago
- This code accompanies the paper "Persistence Images: A Stable Vector Representation of Persistent Homology".☆43Updated 4 years ago
- A Topology Layer for Machine Learning : Persistent Homology + Features for PyTorch☆412Updated last year
- My persistent homology related code.☆26Updated 5 years ago
- Group Equivariant Convolutional Neural Networks☆102Updated 8 years ago
- code for "Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders".☆128Updated 2 years ago
- Statistics on the space of asymmetric networks via Gromov-Wasserstein distance☆13Updated 5 years ago
- ☆124Updated 2 years ago
- This repository contains code for applying Riemannian geometry in machine learning.☆78Updated 4 years ago
- Deep Graph Mapper: Seeing Graphs through the Neural Lens☆58Updated 2 years ago
- Code for "Variational Autoencoder with Learned Latent Structure"☆34Updated 4 years ago
- Official repository for "Categorical Normalizing Flows via Continuous Transformations"☆57Updated 4 years ago
- Codebase for Learning Invariances in Neural Networks☆96Updated 3 years ago
- Riemannian Convex Potential Maps☆67Updated 2 years ago