[ICLR2022] Code for "Learning Disentangled Representation by Exploiting ...
Disentagnled Graph Collaborative Filtering, SIGIR2020
🧶 Modular VAE disentanglement framework for python built with PyTorch L...
Disentangled Makeup Transfer with Generative Adversarial Network
Deep active inference agents using Monte-Carlo methods
DNA-GAN: Learning Disentangled Representations from Multi-Attribute Images
Implementation of "Disentangled Representation Learning for Non-Parallel...
Reproducing the paper "Variational Sparse Coding" for the ICLR 2019 Repr...
Official Tensorflow implementation of the paper "Y-Autoencoders: disenta...
Library implementing state-of-the-art Concept-based and Disentanglement ...
PyTorch implementation of the NIPS 2017 paper - Unsupervised Learning of...
[ICML 2020] InfoGAN-CR and ModelCentrality: Self-supervised Model Traini...
Pytorch implementation of of "Domain Intersection and Domain Difference"...
Code for our EACL-2021 paper "Generating Syntactically Controlled Paraph...
The implementation of the SHOT-VAE model in paper "SHOT-VAE: Semi-superv...