louaaron / TopologicalDeepLearningLinks
A collection of Topology Methods in Deep Learning
☆17Updated 5 years ago
Alternatives and similar repositories for TopologicalDeepLearning
Users that are interested in TopologicalDeepLearning are comparing it to the libraries listed below
Sorting:
- Papers on Topology + Learning.☆14Updated 5 years ago
- ICML 2020 Paper: Latent Variable Modelling with Hyperbolic Normalizing Flows☆54Updated 2 years ago
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆119Updated last year
- GitHub repository for the ICLR Computational Geometry & Topology Challenge 2021☆50Updated 2 years ago
- Vectorization of persistence diagrams and approximate Wasserstein distance☆27Updated 5 years ago
- GitHub repository for the ICLR Computational Geometry & Topology Challenge 2021☆51Updated 3 years ago
- ☆62Updated last year
- This repository implements and evaluates convolutional networks on the Möbius strip as toy model instantiations of Coordinate Independent…☆72Updated last year
- Code for JMLR paper ``Learning Representations of Persistence Barcodes``☆24Updated 5 years ago
- [ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).☆56Updated 3 years ago
- Signal processing on graphs using torch_geometric.☆14Updated 2 years ago
- Lie Algebra Convolutional Network implementation☆43Updated 3 years ago
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- ☆31Updated 4 years ago
- Code for "Generalised Implicit Neural Representations" (NeurIPS 2022).☆71Updated 2 years ago
- Code of our NeurIPS 2020 publication 'Uncovering the Topology of Time-Varying fMRI Data using Cubical Persistence'☆24Updated 4 years ago
- Implementation of the PersLay layer for persistence diagrams☆81Updated last year
- ☆47Updated last year
- ☆38Updated 4 years ago
- MMD, Hausdorff and Sinkhorn divergences scaled up to 1,000,000 samples.☆56Updated 6 years ago
- The essence of my research, distilled for reusability. Enjoy 🥃!☆67Updated 10 months ago
- Differentiable and numerically stable implementation of the matrix exponential☆33Updated 4 years ago
- Code for "Invariance Learning in Deep Neural Networks with Differentiable Laplace Approximations"☆23Updated 2 years ago
- Algorithms for computations on random manifolds made easier☆90Updated last year
- Code for the paper "Topological Autoencoders" by Michael Moor, Max Horn, Bastian Rieck, and Karsten Borgwardt.☆149Updated 3 years ago
- Implicit Convolutional Kernels for Steerable CNNs [NeurIPS'23]☆28Updated 4 months ago
- Persistence differentiation with Gudhi and Tensorflow☆18Updated last year
- Repo reproducing experimental results in "Addressing the Topological Defects of Disentanglement"☆22Updated 2 years ago
- ☆17Updated 2 years ago
- Code repository for the paper "Group Equivariant Stand-Alone Self Attention For Vision" published at ICLR 2021. https://openreview.net/fo…☆29Updated 4 years ago