lauramanduchi / DC-GMMLinks
This repository holds the code for the paper "Deep Conditional Gaussian Mixture Model forConstrained Clustering".
β34Updated 3 years ago
Alternatives and similar repositories for DC-GMM
Users that are interested in DC-GMM are comparing it to the libraries listed below
Sorting:
- Official PyTorch implementation of π MFCVAE π: "Multi-Facet Clustering Variatonal Autoencoders (MFCVAE)" (NeurIPS 2021). A class of varβ¦β40Updated 2 years ago
- Contrastive Variational Autoencodersβ72Updated 6 years ago
- A Pytorch implementation of missing data imputation using optimal transport.β105Updated 4 years ago
- Linxiao Yang, Ngai-Man Cheung, Jiaying Li, and Jun Fang, "Deep Clustering by Gaussian Mixture Variational Autoencoders with Graph Embeddiβ¦β52Updated 5 years ago
- C-Mixup for NeurIPS 2022β73Updated 2 years ago
- Diffusion Models for Causal Discoveryβ90Updated 2 years ago
- Disentangled gEnerative cAusal Representation (DEAR)β65Updated 3 years ago
- A pytorch implementation of MCDO(Monte-Carlo Dropout methods)β58Updated 7 years ago
- Distributional Sliced-Wasserstein distance codeβ50Updated last year
- VAEs and nonlinear ICA: a unifying frameworkβ50Updated 6 years ago
- General API for Deep Bayesian Variational Inference by Backpropagation. The repository has been designed to work with Transformers like aβ¦β45Updated 5 years ago
- Official Code for the paper: "Composite Feature Selection using Deep Ensembles"β24Updated 2 years ago
- [ICML 2022] RankSim: Ranking Similarity Regularization for Deep Imbalanced Regressionβ54Updated 3 years ago
- Implementation of Multi-View Information Bottleneckβ136Updated 5 years ago
- Official PyTorch implementation of STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables (ICLR 2023 Spotlight)β¦β60Updated 2 years ago
- Monte Carlo Flow Models for Data Imputationβ19Updated 5 years ago
- Implementation of mutual learning model between VAE and GMM.β28Updated 3 months ago
- Experiments to reproduce results in Interventional Causal Representation Learning.β28Updated 2 years ago
- Multimodal Mixture-of-Experts VAEβ221Updated 2 years ago
- Weakly Supervised Contrastive Learningβ45Updated 4 years ago
- COT-GAN: Generating Sequential Data via Causal Optimal Transportβ39Updated 4 years ago
- A PyTorch Implementation of VaDE(https://arxiv.org/pdf/1611.05148.pdf)β39Updated 5 years ago
- A brief tutorial on the Wasserstein auto-encoderβ86Updated 7 years ago
- Uncertainty Aware Semi-Supervised Learning on Graph Dataβ40Updated 4 years ago
- informal exposition of Weisfeiler-Leman similarityβ28Updated 4 years ago
- MLTI for ICLR 2022β30Updated 3 years ago
- β92Updated 2 years ago
- Pytorch implementation of SOM-VAE: INTERPRETABLE DISCRETE REPRESENTATION LEARNING ON TIME SERIES https://arxiv.org/pdf/1806.02199v7.pdfβ33Updated 6 years ago
- β111Updated 3 years ago
- Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts (Neurips 2020)β78Updated 3 years ago