ganmodokix / gwaeLinks
PyTorch Implementation for Gromov-Wasserstein Autoencoders (GWAE)
☆42Updated 2 years ago
Alternatives and similar repositories for gwae
Users that are interested in gwae are comparing it to the libraries listed below
Sorting:
- C-GMVAE: Gaussian Mixture VAE with Contrastive Learning for Multi-Label Classification☆54Updated 2 years ago
- Official PyTorch implementation for the paper "CARD: Classification and Regression Diffusion Models"☆230Updated 2 years ago
- InfoDiffusion: Representation Learning Using Information Maximizing Diffusion Models☆34Updated 6 months ago
- Linxiao Yang, Ngai-Man Cheung, Jiaying Li, and Jun Fang, "Deep Clustering by Gaussian Mixture Variational Autoencoders with Graph Embeddi…☆52Updated 5 years ago
- [NeurIPS 2023, Spotlight] Rank-N-Contrast: Learning Continuous Representations for Regression☆121Updated last year
- A Pytorch implementation of missing data imputation using optimal transport.☆101Updated 4 years ago
- Generative Modeling with Optimal Transport Maps - ICLR 2022☆60Updated 3 years ago
- ☆73Updated 2 years ago
- A PyTorch Implementation of VaDE(https://arxiv.org/pdf/1611.05148.pdf)☆39Updated 4 years ago
- Learning Autoencoders with Relational Regularization☆46Updated 4 years ago
- A PyTorch Implementation of Density Estimation Using Real NVP☆77Updated 4 years ago
- Official PyTorch implementation of 🏁 MFCVAE 🏁: "Multi-Facet Clustering Variatonal Autoencoders (MFCVAE)" (NeurIPS 2021). A class of var…☆40Updated 2 years ago
- Implementation of Gaussian Mixture Variational Autoencoder (GMVAE) for Unsupervised Clustering☆343Updated 4 years ago
- Disentangled gEnerative cAusal Representation (DEAR)☆61Updated 2 years ago
- Official implementation for the paper: Permutation Invariant Graph Generation via Score-Based Generative Modeling☆111Updated 2 years ago
- Likelihood Training of Schrödinger Bridge using FBSDEs Theory, ICLR 2022☆84Updated 3 years ago
- Uncertainty Aware Semi-Supervised Learning on Graph Data☆38Updated 4 years ago
- Implementation for the paper: GraphGDP: Generative Diffusion Processes for Permutation Invariant Graph Generation☆29Updated 2 years ago
- ☆20Updated 3 years ago
- Multimodal Mixture-of-Experts VAE☆213Updated 2 years ago
- Papers and Codes for the deep learning in hyperbolic space☆182Updated 3 years ago
- Implementation of Multi-View Information Bottleneck☆132Updated 5 years ago
- Monte Carlo Flow Models for Data Imputation☆19Updated 5 years ago
- Official code for "CoDi: Co-evolving Contrastive Diffusion Models for Mixed-type Tabular Synthesis", ICML 2023☆36Updated last year
- Implementation of the Gumbel-Sigmoid distribution in PyTorch.☆21Updated 3 years ago
- ☆32Updated 4 years ago
- Code accompanying the NeurIPS 2019 paper "GOT: An Optimal Transport framework for Graph comparison"☆42Updated last year
- Code for paper "Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions"☆91Updated 4 years ago
- ☆41Updated 5 years ago
- Code for ECML/PKDD paper: "LSMI-Sinkhorn: Semi-supervised Mutual Information Estimation with Optimal Transport"☆16Updated 4 years ago