FabianFalck / mfcvaeLinks
Official PyTorch implementation of 🏁 MFCVAE 🏁: "Multi-Facet Clustering Variatonal Autoencoders (MFCVAE)" (NeurIPS 2021). A class of variational autoencoders to find multiple disentangled clusterings of data.
☆40Updated 2 years ago
Alternatives and similar repositories for mfcvae
Users that are interested in mfcvae are comparing it to the libraries listed below
Sorting:
- Code for Neural Manifold Clustering and Embedding☆61Updated 3 years ago
- Learning Autoencoders with Relational Regularization☆46Updated 5 years ago
- Contrastive Variational Autoencoders☆71Updated 6 years ago
- Code for the paper "Topological Autoencoders" by Michael Moor, Max Horn, Bastian Rieck, and Karsten Borgwardt.☆151Updated 3 years ago
- The repository for Hyperbolic Representation Learning for Computer Vision, ECCV 2022☆66Updated 3 years ago
- A brief tutorial on the Wasserstein auto-encoder☆85Updated 6 years ago
- Contains the code relative to the paper Partial Gromov-Wasserstein with Applications on Positive-Unlabeled Learning https://arxiv.org/abs…☆20Updated 5 years ago
- Code for Optimal Transport for structured data with application on graphs☆102Updated 2 years ago
- Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport☆45Updated 2 years ago
- HGCAE Pytorch implementation. CVPR2021 accepted.☆44Updated 2 years ago
- Code for Sliced Gromov-Wasserstein☆69Updated 5 years ago
- This repository holds the code for the paper "Deep Conditional Gaussian Mixture Model forConstrained Clustering".☆34Updated 3 years ago
- A Pytorch implementation of missing data imputation using optimal transport.☆104Updated 4 years ago
- A PyTorch Implementation of VaDE(https://arxiv.org/pdf/1611.05148.pdf)☆39Updated 4 years ago
- informal exposition of Weisfeiler-Leman similarity☆28Updated 4 years 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
- Gromov-Wasserstein Learning for Graph Matching and Node Embedding☆73Updated 6 years ago
- A new mini-batch framework for optimal transport in deep generative models, deep domain adaptation, approximate Bayesian computation, col…☆36Updated 2 years ago
- [ICML2023] InfoOT: Information Maximizing Optimal Transport☆42Updated 2 years ago
- Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts (Neurips 2020)☆78Updated 3 years ago
- Distributional Sliced-Wasserstein distance code☆50Updated last year
- Implementation of mutual learning model between VAE and GMM.☆28Updated last month
- Uncertainty Aware Semi-Supervised Learning on Graph Data☆39Updated 4 years ago
- PyTorch Implementation for Gromov-Wasserstein Autoencoders (GWAE)☆44Updated 2 years ago
- The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).☆35Updated 4 years ago
- Learning Generative Models across Incomparable Spaces (ICML 2019)☆27Updated 5 years ago
- Latent space clustering in Generative Adversarial Network (GAN)☆107Updated 3 years ago
- Code accompanying the NeurIPS 2019 paper "GOT: An Optimal Transport framework for Graph comparison"☆43Updated 2 years ago
- Topological Graph Neural Networks (ICLR 2022)☆124Updated 3 years ago
- C-GMVAE: Gaussian Mixture VAE with Contrastive Learning for Multi-Label Classification☆57Updated 2 years ago