geomstats / challenge-iclr-2022Links
GitHub repository for the ICLR Computational Geometry & Topology Challenge 2021
☆52Updated 3 years ago
Alternatives and similar repositories for challenge-iclr-2022
Users that are interested in challenge-iclr-2022 are comparing it to the libraries listed below
Sorting:
- Algorithms for computations on random manifolds made easier☆92Updated last year
- ☆33Updated 4 years ago
- This repository contains code for applying Riemannian geometry in machine learning.☆77Updated 4 years ago
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆119Updated 2 years ago
- GitHub repository for the ICLR Computational Geometry & Topology Challenge 2021☆51Updated 3 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
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- ☆38Updated 5 years ago
- Code for the paper "Topological Autoencoders" by Michael Moor, Max Horn, Bastian Rieck, and Karsten Borgwardt.☆150Updated 3 years ago
- Laplace Redux -- Effortless Bayesian Deep Learning☆42Updated 2 months ago
- Code for "Variational Autoencoder with Learned Latent Structure"☆34Updated 4 years ago
- ☆54Updated last year
- Pytorch implementation of VAEs for heterogeneous likelihoods.☆42Updated 2 years ago
- Official code for the ICLR 2021 paper Neural ODE Processes☆74Updated 3 years ago
- Library for Bayesian Quadrature☆32Updated 6 years ago
- ICML 2020 Paper: Latent Variable Modelling with Hyperbolic Normalizing Flows☆54Updated 2 years ago
- Representation Learning on Topological Domains☆85Updated this week
- ☆44Updated 2 years ago
- The essence of my research, distilled for reusability. Enjoy 🥃!☆69Updated last year
- A topological machine learning framework based on PyTorch☆185Updated last month
- ☆20Updated 3 years ago
- Supplementary code for the NeurIPS 2020 paper "Matern Gaussian processes on Riemannian manifolds".☆29Updated 6 months ago
- Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper☆36Updated 5 years ago
- SCOTT: Synthesizing Curvature Operations and Topological Tools☆14Updated last month
- ☆47Updated last year
- Synthetic data sets apt for Topological Data Analysis☆36Updated last week
- Riemannian Optimization Using JAX☆52Updated last year
- Code for the paper "Bayesian Neural Network Priors Revisited"☆57Updated 4 years ago
- Differentiable and numerically stable implementation of the matrix exponential☆33Updated 4 years ago
- Official repository for the Topological Deep Learning Challenge 2024, organized by TAG-DS & PyT-Team and hosted by GRaM Workshop @ ICML 2…☆38Updated 6 months ago