🧶 Modular VAE disentanglement framework for python built with PyTorch L...
The code for the MaD TwinNet. Demo page:
Implementation of the Sliced Wasserstein Autoencoders
Language Quantized AutoEncoders
implementation of WSAE-LSTM model as defined by Bao, Yue, Rao (2017)
Automatic feature engineering using deep learning and Bayesian inference...
Auto Encoders in PyTorch
Data and code related to the paper "ADAGE-Based Integration of Publicly ...
Tensorflow implementation of "Transforming Autoencoders" (Proposed by G....
Implementation of autoencoders in PyTorch
Pytorch implementation of contractive autoencoder on MNIST dataset
Official Tensorflow implementation of the paper "Y-Autoencoders: disenta...
[Paperlist] Awesome paper list of controllable text generation via laten...
COALA: Co-Aligned Autoencoders for Learning Semantically Enriched Audio ...
CAE-ADMM: Implicit Bitrate Optimization via ADMM-Based Pruning in Compre...