AliLotfi92 / InfoMaxVAELinks
InfoMax-VAE pytorch implementation
☆23Updated 11 months ago
Alternatives and similar repositories for InfoMaxVAE
Users that are interested in InfoMaxVAE are comparing it to the libraries listed below
Sorting:
- Ladder Variational Autoencoders (LVAE) in PyTorch☆91Updated 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
- Implementation of Gaussian Mixture Variational Autoencoder (GMVAE) for Unsupervised Clustering☆341Updated 4 years ago
- A brief tutorial on the Wasserstein auto-encoder☆83Updated 6 years ago
- A PyTorch Implementation of VaDE(https://arxiv.org/pdf/1611.05148.pdf)☆39Updated 4 years ago
- Multimodal Mixture-of-Experts VAE☆212Updated 2 years ago
- the reproduce of Variational Deep Embedding : A Generative Approach to Clustering Requirements by pytorch☆135Updated 2 years ago
- Implementation of "Autoencoding beyond pixels using a learned similarity metric" using Pytorch☆63Updated 5 years ago
- Learning Autoencoders with Relational Regularization☆46Updated 4 years ago
- An implementation of Maximum Mean Discrepancy (MMD) as a differentiable loss in PyTorch.☆40Updated 2 years ago
- Gaussian Process Prior Variational Autoencoder☆84Updated 6 years ago
- Implementation of 'DIVA: Domain Invariant Variational Autoencoders'☆103Updated 5 years ago
- ☆148Updated 3 years ago
- Variational auto encoder in pytorch☆56Updated 6 years ago
- This repository contains the implementation of the VAE and Gaussian Mixture VAE using TensorFlow and several network architectures☆210Updated 5 years ago
- A pytorch package for non-negative matrix factorization.☆240Updated 11 months ago
- ☆40Updated 5 years ago
- MINE: Mutual Information Neural Estimation in pytorch (unofficial)☆204Updated 6 years ago
- Pytorch implementation of paper "Autoencoding beyond pixels using a learned similarity metric"☆43Updated 5 years ago
- Classifier based mutual information, conditional mutual information estimation; conditional independence testing☆34Updated 5 years ago
- PyTorch implementation for the ICLR 2020 paper "Understanding the Limitations of Variational Mutual Information Estimators"☆74Updated 5 years ago
- implementation of semi-supervised VAE using pytorch☆11Updated 5 years ago
- Pytorch implementation of Maximum Mean Discrepancy Variational Autoencoder, a member of the InfoVAE family that maximizes Mutual Informat…☆56Updated 4 years ago
- Mutual Information in Pytorch☆112Updated last year
- Implementation of the Sliced Wasserstein Autoencoder using PyTorch☆103Updated 6 years ago
- pytorch implementation for "Student-t Variational Autoencoder for Robust Density Estimation".☆27Updated 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
- A pytorch implementation of MINE(Mutual Information Neural Estimation)☆347Updated 6 years ago
- Python code for paper - Variational Deep Embedding : A Generative Approach to Clustering☆304Updated 7 years ago
- Mutual Information Neural Entropic Estimation☆27Updated 2 years ago