KevinMoonLab / GRAELinks
Geometry Regularized Autoencoders (GRAE) for large-scale visualization and manifold learning
☆24Updated last year
Alternatives and similar repositories for GRAE
Users that are interested in GRAE are comparing it to the libraries listed below
Sorting:
- Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport☆45Updated 2 years ago
- Code for the paper "Topological Autoencoders" by Michael Moor, Max Horn, Bastian Rieck, and Karsten Borgwardt.☆150Updated 3 years ago
- DynGFN: Bayesian Dynamic Causal Discovery using Generative Flow Networks☆55Updated last year
- CO-Optimal Transport☆42Updated 4 years ago
- A Pytorch implementation of missing data imputation using optimal transport.☆102Updated 4 years ago
- Tensorflow implementation for the SVGP-VAE model.☆22Updated 4 years ago
- Proximal Optimal Transport Modeling of Population Dynamics (AISTATS 2022)☆20Updated 2 years ago
- Pytorch implementation of VAEs for heterogeneous likelihoods.☆42Updated 2 years ago
- Code corresponding to the paper Diffusion Earth Mover's Distance and Distribution Embeddings☆37Updated 8 months ago
- Supplementary code for the AISTATS 2021 paper "Matern Gaussian Processes on Graphs".☆53Updated 6 months ago
- PhD Thesis☆35Updated last year
- Code for Optimal Transport for structured data with application on graphs☆102Updated 2 years ago
- ☆30Updated 2 years ago
- Graph matching and clustering by comparing heat kernels via optimal transport.☆27Updated 2 years ago
- Official PyTorch implementation of 🏁 MFCVAE 🏁: "Multi-Facet Clustering Variatonal Autoencoders (MFCVAE)" (NeurIPS 2021). A class of var…☆40Updated last year
- Contrastive Variational Autoencoders☆69Updated 6 years ago
- Learning the optimal transport map via input convex neural neworks☆42Updated 5 years ago
- ☆32Updated 2 years ago
- Official implementation of Joint Multidimensional Scaling☆22Updated last year
- Statistics on the space of asymmetric networks via Gromov-Wasserstein distance☆13Updated 5 years ago
- A brief tutorial on the Wasserstein auto-encoder☆83Updated 6 years ago
- ☆45Updated last month
- Laplace Redux -- Effortless Bayesian Deep Learning☆42Updated 2 months ago
- General API for Deep Bayesian Variational Inference by Backpropagation. The repository has been designed to work with Transformers like a…☆45Updated 4 years ago
- Latent optimal transport (LOT) for low rank transport and clustering☆19Updated 4 years ago
- ☆27Updated last month
- A Shared Nearest Neighbors clustering implementation. This code is basically a wrapper of sklearn DBSCAN, implementing the neighborhood s…☆14Updated 3 years ago
- ☆118Updated 3 years ago
- ☆16Updated 4 years ago
- Code for Sliced Gromov-Wasserstein☆68Updated 5 years ago