beta-vae
There are 37 repositories under beta-vae topic.
AntixK/PyTorch-VAE
A Collection of Variational Autoencoders (VAE) in PyTorch.
clementchadebec/benchmark_VAE
Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)
YannDubs/disentangling-vae
Experiments for understanding disentanglement in VAE latent representations
1Konny/Beta-VAE
Pytorch implementation of β-VAE
google-deepmind/dsprites-dataset
Dataset to assess the disentanglement properties of unsupervised learning methods
EugenHotaj/pytorch-generative
Easy generative modeling in PyTorch.
1Konny/FactorVAE
Pytorch implementation of FactorVAE proposed in Disentangling by Factorising(http://arxiv.org/abs/1802.05983)
miyosuda/disentangled_vae
Replicating "Understanding disentangling in β-VAE"
Kyushik/Generative-Model
Repository for implementation of generative models with Tensorflow 1.x
tvhahn/ml-tool-wear
Anomaly detection on the UC Berkeley milling data set using a disentangled-variational-autoencoder (beta-VAE). Replication of results as described in article "Self-Supervised Learning for Tool Wear Monitoring with a Disentangled-Variational-Autoencoder"
marisancans/frame-predict-VAE-LSTM
Predicting image frames using autoencoder and LSTM
yuki3-18/Topological-DVAE
An implementation of Denoising Variational AutoEncoder with Topological loss
1Konny/idgan
Official PyTorch implementation on ID-GAN: High-Fidelity Synthesis with Disentangled Representation by Lee et al., 2020.
mmrl/disent-and-gen
Code from the article: "The Role of Disentanglement in Generalisation" (ICLR, 2021).
Glaciohound/SCAN
Pytorch implementation of SCAN: Learning Hierarchical Compositional Visual Concepts, Higgins et al., ICLR 2018
AloneTogetherY/disentangled-VAE
Disentangling the latent space of a VAE.
AxelNathanson/pytorch-Variational-Autoencoder
Implementation of VAE in pytorch.
saashd/controlVAE
ML2 Project following ControlVAE: Tuning, Analytical Properties, and Performance Analysis
sungsujaing/letter_digit_generator_VAE
generate arbitrary handwritten letter/digits based on the inputs
Bhavik-Ardeshna/pytorch-VAE
Variational Autoencoder and a Disentangled version (beta-VAE) implementation in PyTorch-Lightning
thomasjv799/Beta-VAE-on-Animal-Face
Using Beta VAE to test on faces of animal
JohanYe/Beta-VAE
Pytorch implementation of a simple beta vae on dsprites data
dawnJ/chainer
A flexible framework of neural networks for deep learning
JarvisGexiaoXu/Disentanglement-Study
This is the code repository for {Empirical Study on Exploring the Impact of Controlling the Objective on Disentanglement Learning During Training}.
kumatheworld/fakeglyph
Fancy brand new letters with generative models
masashi-hatano/beta-vae
Image generation of MNIST via beta-VAE
Tristan-Amadei/DeepLearning-GenAI
Utilisation de modèles génératifs comme tâche prétexte pour pré-entrainement de DNN pour classification.
yordanh/sbd-torch
Spatial Broadcast Decoder implementation in PyTorch on top of Docker.
dawnJ/dsprites-dataset
Dataset to assess the disentanglement properties of unsupervised learning methods
kiwi0fruit/talking-regressor
It's a repo for figuring out ways how to get automatic text summaries to Auto-ML models that perform regression (get compressed and factorized latent representation). Ideally it should be even able to answer questions on properties of that model.
Minitechy/betaVAE_dis
Investigating Disentanglement in beta-VAE within a Linear Gaussian Setting
Minitechy/betaVAE_recon
Augmenting Reconstruction Accuracy in beta-VAE Model through Linear Gaussian Framework