beta-vae
There are 5 repositories under beta-vae topic.
AntixK / PyTorch-VAE
A Collection of Variational Autoencoders (VAE) in PyTorch.
Language:Python 5992clementchadebec / benchmark_VAE
Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)
Language:Python 1680YannDubs / disentangling-vae
Experiments for understanding disentanglement in VAE latent representations
Language:Python 765- Language:Python 501
google-deepmind / dsprites-dataset
Dataset to assess the disentanglement properties of unsupervised learning methods
Language:Jupyter Notebook 467EugenHotaj / pytorch-generative
Easy generative modeling in PyTorch.
Language:Python 4031Konny / FactorVAE
Pytorch implementation of FactorVAE proposed in Disentangling by Factorising(http://arxiv.org/abs/1802.05983)
Language:Python 254miyosuda / disentangled_vae
Replicating "Understanding disentangling in β-VAE"
Language:Python 192Kyushik / Generative-Model
Repository for implementation of generative models with Tensorflow 1.x
Language:Jupyter Notebook 71- Language:Python 67
- ml-tool-wear
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"
Language:Jupyter Notebook 52 marisancans / frame-predict-VAE-LSTM
Predicting image frames using autoencoder and LSTM
Language:Python 36yuki3-18 / Topological-DVAE
An implementation of Denoising Variational AutoEncoder with Topological loss
Language:Python 30Official PyTorch implementation on ID-GAN: High-Fidelity Synthesis with Disentangled Representation by Lee et al., 2020.
Language:Python 28mmrl / disent-and-gen
Code from the article: "The Role of Disentanglement in Generalisation" (ICLR, 2021).
Language:Jupyter Notebook 22Glaciohound / SCAN
Pytorch implementation of SCAN: Learning Hierarchical Compositional Visual Concepts, Higgins et al., ICLR 2018
Language:Python 11- Language:Python 8
AloneTogetherY / disentangled-VAE
Disentangling the latent space of a VAE.
Language:Python 6AxelNathanson / pytorch-Variational-Autoencoder
Implementation of VAE in pytorch.
Language:Python 4saashd / controlVAE
ML2 Project following ControlVAE: Tuning, Analytical Properties, and Performance Analysis
Language:Jupyter Notebook 3sungsujaing / letter_digit_generator_VAE
generate arbitrary handwritten letter/digits based on the inputs
Language:Jupyter Notebook 3thomasjv799 / Beta-VAE-on-Animal-Face
Using Beta VAE to test on faces of animal
Language:Jupyter Notebook 2Bhavik-Ardeshna / pytorch-VAE
Variational Autoencoder and a Disentangled version (beta-VAE) implementation in PyTorch-Lightning
Language:Python 1- Language:Python 0
- Language:Python 0
JarvisGexiaoXu / Disentanglement-Study
This is the code repository for {Empirical Study on Exploring the Impact of Controlling the Objective on Disentanglement Learning During Training}.
Language:Jupyter Notebook 0- Language:Python 0
kumatheworld / fakeglyph
Fancy brand new letters with generative models
Language:Python 0- Language:Jupyter Notebook 0
Tristan-Amadei / DeepLearning-GenAI
Utilisation de modèles génératifs comme tâche prétexte pour pré-entrainement de DNN pour classification.
Language:Jupyter Notebook 0- Language:Python 0
- Language:Python 0
dawnJ / dsprites-dataset
Dataset to assess the disentanglement properties of unsupervised learning methods
Language:Jupyter Notebookkiwi0fruit / 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
Language:Jupyter NotebookAugmenting Reconstruction Accuracy in beta-VAE Model through Linear Gaussian Framework
Language:Jupyter Notebook
