lauramanduchi / DC-GMM
This repository holds the code for the paper "Deep Conditional Gaussian Mixture Model forConstrained Clustering".
β31Updated 2 years ago
Alternatives and similar repositories for DC-GMM:
Users that are interested in DC-GMM are comparing it to the libraries listed below
- Linxiao Yang, Ngai-Man Cheung, Jiaying Li, and Jun Fang, "Deep Clustering by Gaussian Mixture Variational Autoencoders with Graph Embeddiβ¦β50Updated 4 years ago
- Official PyTorch implementation of π MFCVAE π: "Multi-Facet Clustering Variatonal Autoencoders (MFCVAE)" (NeurIPS 2021). A class of varβ¦β41Updated last year
- A Pytorch implementation of missing data imputation using optimal transport.β96Updated 3 years ago
- MPVAE: Multivariate Probit Variational AutoEncoder for Multi-Label Classificationβ31Updated 4 months ago
- Evidential Deep Learning in PyTorchβ47Updated 2 years ago
- C-GMVAE: Gaussian Mixture VAE with Contrastive Learning for Multi-Label Classificationβ47Updated last year
- β67Updated last year
- Implementation of Few-shot Domain Adaptation by Causal Mechanism Transfer (ICML 2020)β42Updated 2 years ago
- Official implementation of ICLR 2020 paper Unsupervised Clustering using Pseudo-semi-supervised Learningβ48Updated 4 years ago
- Code for the paper "Rethinking Importance Weighting for Deep Learning under Distribution Shift".β28Updated 3 years ago
- A pytorch implementation of MCDO(Monte-Carlo Dropout methods)β56Updated 6 years ago
- C-Mixup for NeurIPS 2022β68Updated last year
- Self-Supervised Learning with Data Augmentations Provably Isolates Content from Styleβ50Updated 3 years ago
- Unsupervised Deep Embedding for Clustering Analysis (DEC)β24Updated 4 years ago
- Learning Autoencoders with Relational Regularizationβ46Updated 4 years ago
- β40Updated 3 years ago
- Implementation of a model to make VAE and GMM train from each otherβ27Updated 2 years ago
- [ICLR 2023]Β Official code for the paper "Identifiability Results for Multimodal Contrastive Learning"β31Updated last year
- MODALS: Modality-agnostic Automated Data Augmentation in the Latent Spaceβ40Updated 4 years ago
- Monte Carlo Flow Models for Data Imputationβ18Updated 4 years ago
- A new mini-batch framework for optimal transport in deep generative models, deep domain adaptation, approximate Bayesian computation, colβ¦β37Updated 2 years ago
- VAEs and nonlinear ICA: a unifying frameworkβ46Updated 5 years ago
- [ICML 2022] RankSim: Ranking Similarity Regularization for Deep Imbalanced Regressionβ47Updated 2 years ago
- Generalizing to unseen domains via distribution matchingβ70Updated 4 years ago
- Uncertainty Aware Semi-Supervised Learning on Graph Dataβ40Updated 3 years ago
- Contrastive Variational Autoencodersβ62Updated 6 years ago
- Distributional Sliced-Wasserstein distance codeβ49Updated 6 months ago
- Implementation of the MIWAE method for deep generative modelling of incomplete data sets.β37Updated 11 months ago
- β19Updated last year
- PyTorch Implementation for Gromov-Wasserstein Autoencoders (GWAE)β44Updated 2 years ago