disent🧶 Modular VAE disentanglement framework for python built with PyTorch Lightning ▸ Including metrics and datasets ▸ With strongly supervised, weakly supervised and unsupervised methods ▸ Easily configured and run with Hydra config ▸ Inspired by disentanglement_lib
CHyVAECode for our paper -- Hyperprior Induced Unsupervised Disentanglement of Latent Representations (AAAI 2019)
DRNETPyTorch implementation of the NIPS 2017 paper - Unsupervised Learning of Disentangled Representations from Video
synpgCode for our EACL-2021 paper "Generating Syntactically Controlled Paraphrases without Using Annotated Parallel Pairs".
DisContCode for the paper "DisCont: Self-Supervised Visual Attribute Disentanglement using Context Vectors".
concept-based-xaiLibrary implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI
CS-DisMo[ICCVW 2021] Rethinking Content and Style: Exploring Bias for Unsupervised Disentanglement
DeFMO[CVPR 2021] DeFMO: Deblurring and Shape Recovery of Fast Moving Objects