guenthereder / Deep-Clustering-Network
PyTorch implementation of "Towards k-means-friendly spaces: Simultaneous deep learning and clustering," Bo Yang et al., 2017.
☆17Updated 4 years ago
Alternatives and similar repositories for Deep-Clustering-Network:
Users that are interested in Deep-Clustering-Network are comparing it to the libraries listed below
- Unsupervised Deep Embedding for Clustering Analysis (DEC)☆24Updated 4 years ago
- This repository holds the code for the paper "Deep Conditional Gaussian Mixture Model forConstrained Clustering".☆31Updated 2 years ago
- PyTorch Implementation for Gromov-Wasserstein Autoencoders (GWAE)☆44Updated 2 years ago
- [ICML2023] InfoOT: Information Maximizing Optimal Transport☆40Updated last year
- PyTorch Implementation of "Towards K-Means-Friendly Spaces: Simultaneous Deep Learning and Clustering," Bo Yang et al., ICML'2017.☆125Updated 4 years ago
- Code for Sliced Gromov-Wasserstein☆66Updated 5 years ago
- Official PyTorch implementation of 🏁 MFCVAE 🏁: "Multi-Facet Clustering Variatonal Autoencoders (MFCVAE)" (NeurIPS 2021). A class of var…☆41Updated last year
- A new mini-batch framework for optimal transport in deep generative models, deep domain adaptation, approximate Bayesian computation, col…☆37Updated 2 years ago
- Learnable Fourier Features for Multi-Dimensional Spatial Positional Encoding☆45Updated 4 months ago
- Code for "Implicit Normalizing Flows" (ICLR 2021 spotlight)☆34Updated 3 years ago
- CO-Optimal Transport☆42Updated 4 years ago
- Code for ECML/PKDD paper: "LSMI-Sinkhorn: Semi-supervised Mutual Information Estimation with Optimal Transport"☆15Updated 3 years ago
- C-GMVAE: Gaussian Mixture VAE with Contrastive Learning for Multi-Label Classification☆47Updated last year
- Pytorch implementation for ICLR 2021 paper - MiCE: Mixture of Contrastive Experts for Unsupervised Image Clustering☆47Updated 3 years ago
- Robustness via Cross-Domain Ensembles, ICCV 2021 [Oral]☆38Updated 3 years ago
- Robust Optimal Transport code☆41Updated 2 years ago
- [NeurIPS 2022] FiLM-Ensemble: Probabilistic Deep Learning via Feature-wise Linear Modulation☆24Updated 2 years ago
- ☆24Updated 3 years ago
- ☆70Updated 2 years ago
- The Wasserstein Distance and Optimal Transport Map of Gaussian Processes☆52Updated 4 years ago
- The Official PyTorch Implementation of "VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models" (ICLR 2021 spotlight…☆54Updated 2 years ago
- ☆37Updated 6 months ago
- It is a repo which allows to compute all divergences derived from the theory of entropically regularized, unbalanced optimal transport. I…☆28Updated 2 years ago
- Variational Autoencoder with non-euclidean (hyperbolic) latent space☆11Updated 2 years ago
- ☆67Updated last year
- ☆40Updated 3 years ago
- The repository contains reproducible PyTorch source code of our paper Generative Modeling with Optimal Transport Maps, ICLR 2022.☆58Updated 2 years ago
- A pure PyTorch implementation of kmeans and GMM with distributed clustering.☆44Updated 2 years ago
- Learning generative models with Sinkhorn Loss☆28Updated 6 years ago
- Learning Autoencoders with Relational Regularization☆46Updated 4 years ago