aktersnurra / information-maximizing-variational-autoencodersLinks
A PyTorch implementation of InfoVAE: Balancing Learning and Inference in Variational Autoencoders by Zhao et al.
☆10Updated 6 years ago
Alternatives and similar repositories for information-maximizing-variational-autoencoders
Users that are interested in information-maximizing-variational-autoencoders are comparing it to the libraries listed below
Sorting:
- A PyTorch implementation of "Multimodal Generative Models for Scalable Weakly-Supervised Learning" (https://arxiv.org/abs/1802.05335)☆161Updated 7 years ago
- the reproduce of Variational Deep Embedding : A Generative Approach to Clustering Requirements by pytorch☆138Updated 2 years ago
- A PyTorch Implementation of VaDE(https://arxiv.org/pdf/1611.05148.pdf)☆39Updated 4 years ago
- Implementation of mutual learning model between VAE and GMM.☆28Updated last month
- ☆66Updated 6 years ago
- VAEs and nonlinear ICA: a unifying framework☆49Updated 6 years ago
- Implementation of Gaussian Mixture Variational Autoencoder (GMVAE) for Unsupervised Clustering☆346Updated 5 years ago
- Code release for Representation Subspace Distance for Domain Adaptation Regression (ICML 2021)☆84Updated 4 years ago
- A pytorch implementation of MINE(Mutual Information Neural Estimation)☆351Updated 6 years ago
- Implementation of 'DIVA: Domain Invariant Variational Autoencoders'☆105Updated 6 years ago
- PyTorch implementation for the ICLR 2020 paper "Understanding the Limitations of Variational Mutual Information Estimators"☆77Updated 5 years ago
- Ladder Variational Autoencoders (LVAE) in PyTorch☆92Updated 5 years ago
- A pytorch implementation of Maximum Mean Discrepancies(MMD) loss☆212Updated 3 years ago
- Pytorch implementation of Deep Variational Information Bottleneck☆204Updated 7 years ago
- Code released for ICML 2019 paper "Bridging Theory and Algorithm for Domain Adaptation".☆140Updated 6 years ago
- Gaussian Process Prior Variational Autoencoder☆86Updated 6 years ago
- Implementation of the MMD VAE paper (InfoVAE: Information Maximizing Variational Autoencoders) in pytorch☆43Updated 5 years ago
- Joint distribution optimal transportation for domain adaptation☆102Updated 7 years ago
- Multimodal Mixture-of-Experts VAE☆219Updated 2 years ago
- MINE: Mutual Information Neural Estimation in pytorch (unofficial)☆206Updated 7 years ago
- Pytorch implementation of the Variational Recurrent Neural Network (VRNN).☆290Updated 3 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
- LEAP is a tool for discovering latent temporal causal relations with gradient-based neural network.☆39Updated 3 years ago
- Implementation of DeepJDOT in Keras☆63Updated 6 years ago
- Linxiao Yang, Ngai-Man Cheung, Jiaying Li, and Jun Fang, "Deep Clustering by Gaussian Mixture Variational Autoencoders with Graph Embeddi…☆52Updated 5 years ago
- ☆22Updated 6 years ago
- Python code for paper - Variational Deep Embedding : A Generative Approach to Clustering☆308Updated 7 years ago
- Learning deep representations by mutual information estimation and maximization☆322Updated 6 years ago
- Disentangled gEnerative cAusal Representation (DEAR)☆62Updated 3 years ago