abidlabs / contrastive_vaeLinks
Contrastive Variational Autoencoders
☆68Updated 6 years ago
Alternatives and similar repositories for contrastive_vae
Users that are interested in contrastive_vae are comparing it to the libraries listed below
Sorting:
- Implementation of 'DIVA: Domain Invariant Variational Autoencoders'☆102Updated 5 years ago
- Code for "Generative causal explanations of black-box classifiers"☆34Updated 4 years ago
- Official PyTorch implementation of 🏁 MFCVAE 🏁: "Multi-Facet Clustering Variatonal Autoencoders (MFCVAE)" (NeurIPS 2021). A class of var…☆40Updated last year
- Original implementation of Separated Paths for Local and Global Information framework (SPLIT) in TensorFlow 2.☆19Updated 2 years ago
- VAEs and nonlinear ICA: a unifying framework☆47Updated 5 years ago
- This repository holds the code for the paper "Deep Conditional Gaussian Mixture Model forConstrained Clustering".☆34Updated 3 years ago
- Official source code repository for the ICML 2021 paper "Hierarchical VAEs Know What They Don't Know"☆30Updated 3 years ago
- PyTorch Implementation - Mine Your Own vieW: Self-Supervised Learning Through Across-Sample Prediction☆31Updated 3 years ago
- Implementation of a model to make VAE and GMM train from each other☆26Updated 3 years ago
- Disentangled gEnerative cAusal Representation (DEAR)☆60Updated 2 years ago
- Multimodal Mixture-of-Experts VAE☆211Updated last year
- ☆46Updated 4 years ago
- A PyTorch implementation of "Multimodal Generative Models for Scalable Weakly-Supervised Learning" (https://arxiv.org/abs/1802.05335)☆159Updated 6 years ago
- A Pytorch implementation of missing data imputation using optimal transport.☆101Updated 4 years ago
- Code for the paper "Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN)" (2020)☆32Updated 3 years ago
- Implementation of "Learning latent subspaces in variational autoencoders"☆20Updated 5 years ago
- Generalizing to unseen domains via distribution matching☆72Updated 4 years ago
- Code for "Generating Interpretable Counterfactual Explanations By Implicit Minimisation of Epistemic and Aleatoric Uncertainties"☆18Updated 4 years ago
- An Empirical Framework for Domain Generalization In Clinical Settings☆30Updated 3 years ago
- A tutorial on learned non-adversarial invariance in neural networks☆13Updated 5 years ago
- Classifier based mutual information, conditional mutual information estimation; conditional independence testing☆34Updated 5 years ago
- Code for Diff-SCM paper☆98Updated 2 years ago
- ICAM: Interpretable Classification via Disentangled Representations and Feature Attribution Mapping☆54Updated 2 years ago
- Alignment between clustered datasets via hierarchical Wasserstein distance☆38Updated last year
- Code for ICE-BeeM paper - NeurIPS 2020☆87Updated 3 years ago
- A Variational Information Bottleneck Approach to Multi-Omics Data Integration☆24Updated 4 years ago
- Learning Autoencoders with Relational Regularization☆46Updated 4 years ago
- Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning (http://jmlr.org/papers/v20/19-033.html)☆87Updated 5 months ago
- DeepPINK: reproducible feature selection in deep neural networks☆21Updated last year
- This repository contains the implementation of SimplEx, a method to explain the latent representations of black-box models with the help …☆24Updated 2 years ago