Saswatm123 / MMD-VAELinks
Pytorch implementation of Maximum Mean Discrepancy Variational Autoencoder, a member of the InfoVAE family that maximizes Mutual Information between the Isotropic Gaussian Prior (as the latent space) and the Data Distribution.
☆57Updated 4 years ago
Alternatives and similar repositories for MMD-VAE
Users that are interested in MMD-VAE are comparing it to the libraries listed below
Sorting:
- Implementation of 'DIVA: Domain Invariant Variational Autoencoders'☆104Updated 5 years ago
- ☆66Updated 6 years ago
- PyTorch implementation for the ICLR 2020 paper "Understanding the Limitations of Variational Mutual Information Estimators"☆75Updated 5 years ago
- Pytorch implementation of Deep Variational Information Bottleneck☆202Updated 7 years ago
- Implementation of the paper "Understanding anomaly detection with deep invertible networks through hierarchies of distributions and featu…☆42Updated 4 years ago
- Code for the paper "Adversarial Self-supervised Contrastive Learning" (NeurIPS 2020)☆172Updated 2 years ago
- MPVAE: Multivariate Probit Variational AutoEncoder for Multi-Label Classification☆31Updated 11 months ago
- MINE: Mutual Information Neural Estimation in pytorch (unofficial)☆205Updated 7 years ago
- Generalizing to unseen domains via distribution matching☆72Updated 5 years ago
- Code for: "Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive Processes" and "TaskNorm: Rethinking Batch Norma…☆160Updated 4 years ago
- A pytorch implementation of Maximum Mean Discrepancies(MMD) loss☆211Updated 3 years ago
- Disentanglement library for PyTorch☆281Updated 3 years ago
- A pytorch implementation of MINE(Mutual Information Neural Estimation)☆351Updated 6 years ago
- Implementation of Invariant Risk Minimization https://arxiv.org/abs/1907.02893☆90Updated 5 years ago
- ☆66Updated 5 years ago
- A Tensorflow implementation Mutual Information estimation methods☆47Updated 2 years ago
- Robust Out-of-distribution Detection in Neural Networks☆73Updated 3 years ago
- ☆89Updated 3 years ago
- Variational AutoEncoder + ResNet Transfer Learning☆232Updated 3 years ago
- [ICML 2020] Continuously Indexed Domain Adaptation☆119Updated 3 years ago
- Implementation of Multi-View Information Bottleneck☆132Updated 5 years ago
- Official implementation of paper Gradient Matching for Domain Generalization☆122Updated 3 years ago
- Mutual Information Gradient Estimation☆12Updated 4 years ago
- Sliced Wasserstein Distance (SWD) in PyTorch☆114Updated 5 years ago
- We propose a theoretically motivated method, Adversarial Training with informative Outlier Mining (ATOM), which improves the robustness o…☆57Updated 3 years ago
- Code for the paper "Generalizing to Unseen Domains via Adversarial Data Augmentation", NeurIPS 2018☆121Updated 5 years ago
- Sinkhorn Label Allocation is a label assignment method for semi-supervised self-training algorithms. The SLA algorithm is described in fu…☆53Updated 4 years ago
- ☆91Updated 3 years ago
- Domain agnostic learning with disentangled representations☆147Updated 5 years ago
- Learning deep representations by mutual information estimation and maximization☆324Updated 6 years ago