stat-ml / GeoMLELinks
This repo contains code for GeoMLE intrinsic dimension estimation algorithm
☆20Updated 5 years ago
Alternatives and similar repositories for GeoMLE
Users that are interested in GeoMLE are comparing it to the libraries listed below
Sorting:
- Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper☆37Updated 5 years ago
- Deep Graph Mapper: Seeing Graphs through the Neural Lens☆58Updated 2 years ago
- A Python package for intrinsic dimension estimation☆96Updated 4 months ago
- ☆12Updated 4 years ago
- This is the code related to the article 'Intrinsic persistent homology via density-based metric learning'☆10Updated 2 years ago
- Code corresponding to the paper Diffusion Earth Mover's Distance and Distribution Embeddings☆38Updated last year
- Official repository for the ICLR 2022 paper "Evaluation Metrics for Graph Generative Models: Problems, Pitfalls, and Practical Solutions"…☆14Updated 3 years ago
- Official implementation of NeurIPS'21: Implicit SVD for Graph Representation Learning☆21Updated 4 years ago
- Graph matching and clustering by comparing heat kernels via optimal transport.☆27Updated 3 years ago
- SuNBEaM, (s)pectral (n)on-(b)acktracking (e)igenvalue pseudo-(m)etric, a topological graph distance☆16Updated 6 years ago
- The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).☆35Updated 5 years ago
- Python code for intrinsic dimension estimation of generic datasets☆19Updated 7 years ago
- Code for the paper "Topological Autoencoders" by Michael Moor, Max Horn, Bastian Rieck, and Karsten Borgwardt.☆153Updated 4 years ago
- Pytorch implementation of VAEs for heterogeneous likelihoods.☆43Updated 3 years ago
- Differentiable Euler Characteristic Transform☆17Updated last year
- ☆28Updated 3 years ago
- "Oblique Decision Trees from Derivatives of ReLU Networks" (ICLR 2020, previously called "Locally Constant Networks")☆22Updated 4 years ago
- Codebase for "Demystifying Black-box Models with Symbolic Metamodels", NeurIPS 2019.☆52Updated 6 years ago
- Morgan A. Schmitz., Matthieu Heitz, Nicolas Bonneel, Fred Ngole, David Coeurjolly, Marco Cuturi, Gabriel Peyré, and Jean-Luc Starck. "Was…☆20Updated 6 years ago
- Supplementary code for the paper "Meta-Solver for Neural Ordinary Differential Equations" https://arxiv.org/abs/2103.08561☆25Updated 4 years ago
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆125Updated 2 years ago
- Official implementation of Joint Multidimensional Scaling☆24Updated 2 years ago
- Repository for code release of paper "Robust Variational Autoencoders for Outlier Detection and Repair of Mixed-Type Data" (AISTATS 2020)☆48Updated 5 years ago
- GitHub repository for the ICLR Computational Geometry & Topology Challenge 2021☆53Updated 3 years ago
- ☆18Updated 7 years ago
- Code repo for "Function-Space Distributions over Kernels"☆32Updated 5 years ago
- Python-based persistent homology algorithms☆19Updated 2 years ago
- Methods for estimating intrinsic dimension and methods for generating data on manifolds☆12Updated 6 years ago
- Bayesian optimization with conformal coverage guarantees☆29Updated 3 years ago
- ☆37Updated 5 years ago