dn070017 / Variational-AutoencodersLinks
Beta-VAE, Conditional-VAE, Total Correlation-VAE, FactorVAE, Relevance Factor-VAE, Multi-Level VAE, (Soft)-IntroVAE (Beta-Version), LVAE, VLAE, VaDE and MFCVAE implemented in Tensorflow 2
☆17Updated 2 months ago
Alternatives and similar repositories for Variational-Autoencoders
Users that are interested in 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)☆159Updated 7 years ago
- Contrastive Variational Autoencoders☆70Updated 6 years ago
- A PyTorch Implementation of VaDE(https://arxiv.org/pdf/1611.05148.pdf)☆39Updated 4 years ago
- Code for comparison of multimodal VAE models☆29Updated 5 months ago
- Gaussian Process Prior Variational Autoencoder☆86Updated 6 years ago
- A Pytorch implementation of missing data imputation using optimal transport.☆104Updated 4 years ago
- Convolutional variational autoencoder in PyTorch☆46Updated 7 years ago
- A Variational Information Bottleneck Approach to Multi-Omics Data Integration☆24Updated 4 years ago
- Original implementation of Separated Paths for Local and Global Information framework (SPLIT) in TensorFlow 2.☆19Updated 2 years ago
- Pyro/Pytorch implementation of Deep Kalman FIlter for shared-mobility demand prediction☆48Updated 5 years ago
- A brief tutorial on the Wasserstein auto-encoder☆84Updated 6 years ago
- Implementation of mutual learning model between VAE and GMM.☆27Updated last week
- Sliced Wasserstein Distance for Learning Gaussian Mixture Models☆66Updated 2 years ago
- A PyTorch implementation of InfoVAE: Balancing Learning and Inference in Variational Autoencoders by Zhao et al.☆10Updated 6 years ago
- Deep Clustering Analysis via Dual Variational Autoencoder with Spherical Latent Embeddings powered by@torch☆12Updated 3 years ago
- Unifying Multimodal Variational Autoencoders (VAEs) in Pytorch☆53Updated last week
- Multi-Channel Variational Auto Encoder: A Bayesian Deep Learning Framework for Modeling High-Dimensional Heterogeneous Data.☆32Updated 4 years ago
- InfoMax-VAE pytorch implementation☆23Updated last year
- Comparison of Variational Autoencoders with Bayesian Neural Networks. Accuracy, Latent space, Reconstruction and White Noise filtering.☆28Updated 7 years ago
- ☆22Updated last year
- Implementation of Gaussian Mixture Variational Autoencoder (GMVAE) for Unsupervised Clustering☆343Updated 5 years ago
- Python implementation of Sparse Subspace Clustering algorithm.☆79Updated 7 years ago
- Mutual Information in Pytorch☆113Updated 2 years ago
- Ladder Variational Autoencoders (LVAE) in PyTorch☆92Updated 5 years ago
- Variational Autoencoder and Classifier hybrid☆27Updated 6 years ago
- ☆10Updated 3 years ago
- Code release for ICLR 2021 paper "Generalised Multimodal ELBO"☆41Updated 2 years ago
- Multimodal Generative Learning Utilizing Jensen-Shannon-Divergence☆18Updated 2 years ago
- VAEs and nonlinear ICA: a unifying framework☆49Updated 6 years ago
- the reproduce of Variational Deep Embedding : A Generative Approach to Clustering Requirements by pytorch☆137Updated 2 years ago