variational-autoencoder topic

[ICCV 2021] Focal Frequency Loss for Image Reconstruction and Synthesis

EndlessSora

Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important...

omerbsezer

tuanad121

Next RecSys Library

wubinzzu

Understanding normalizing flows

abdulfatir

Collection of generative models in Tensorflow

hwalsuklee

Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)

jaanli

PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.

GMvandeVen

Deep probabilistic analysis of single-cell and spatial omics data

scverse

A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.

matthewvowels1