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.
☆59Updated 5 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:
- ☆66Updated 6 years ago
- PyTorch implementation for the ICLR 2020 paper "Understanding the Limitations of Variational Mutual Information Estimators"☆77Updated 5 years ago
- Implementation of 'DIVA: Domain Invariant Variational Autoencoders'☆105Updated 6 years ago
- MINE: Mutual Information Neural Estimation in pytorch (unofficial)☆207Updated 7 years ago
- Pytorch implementation of Deep Variational Information Bottleneck☆209Updated 7 years ago
- A way to achieve uniform confidence far away from the training data.☆38Updated 4 years ago
- Code for the paper "Adversarial Self-supervised Contrastive Learning" (NeurIPS 2020)☆173Updated 3 years ago
- Code for: "Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive Processes" and "TaskNorm: Rethinking Batch Norma…☆162Updated 4 years ago
- A pytorch implementation of Maximum Mean Discrepancies(MMD) loss☆213Updated 3 years ago
- Pytorch Implementation of variational auto-encoder for MNIST☆61Updated 7 years ago
- Disentanglement library for PyTorch☆283Updated 3 years ago
- ☆68Updated 6 years ago
- A pytorch implementation of MINE(Mutual Information Neural Estimation)☆350Updated 6 years ago
- A Tensorflow implementation Mutual Information estimation methods☆48Updated 2 years ago
- Official code for the paper "Self-Supervised Prototypical Transfer Learning for Few-Shot Classification"☆51Updated 4 years ago
- ☆89Updated 4 years ago
- Official PyTorch implementation of the paper "Self-Supervised Relational Reasoning for Representation Learning", NeurIPS 2020 Spotlight.☆143Updated last year
- Code for Invariant Rep. Without Adversaries (NIPS 2018)☆35Updated 6 years ago
- MPVAE: Multivariate Probit Variational AutoEncoder for Multi-Label Classification☆32Updated last year
- Variational auto encoder in pytorch☆56Updated 6 years ago
- This is the source code for Learning Deep Kernels for Non-Parametric Two-Sample Tests (ICML2020).☆52Updated 4 years ago
- Robust Out-of-distribution Detection in Neural Networks☆73Updated 3 years ago
- Code for the paper "Generalizing to Unseen Domains via Adversarial Data Augmentation", NeurIPS 2018☆121Updated 5 years ago
- Pytorch Implementation of the Nonlinear Information Bottleneck☆41Updated last year
- Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)☆206Updated 3 years ago
- Official code for ICLR 2020 paper "A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning."☆101Updated 5 years ago
- This repository contains a pytorch implementation for the paper: Multi-Level Variational Autoencoder (https://arxiv.org/abs/1705.08841), …☆71Updated 3 years ago
- Variational AutoEncoder + ResNet Transfer Learning☆233Updated 3 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
- Tensorflow implementation of "Learning to Balance: Bayesian Meta-learning for Imbalanced and Out-of-distribution Tasks" (ICLR 2020 oral)☆101Updated 5 years ago