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GitHub topics: beta-vae

AntixK/PyTorch-VAE

A Collection of Variational Autoencoders (VAE) in PyTorch.

Language: Python - Size: 45.4 MB - Last synced at: 11 days ago - Pushed at: about 2 months ago - Stars: 7,111 - Forks: 1,123

clementchadebec/benchmark_VAE

Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)

Language: Python - Size: 42.5 MB - Last synced at: 14 days ago - Pushed at: 10 months ago - Stars: 1,905 - Forks: 174

suzuki-2001/pytorch-proVLAE

Pytorch Implementation of proVLAE: progressive learning of variational ladder auto encoder

Language: Python - Size: 2.04 MB - Last synced at: 3 days ago - Pushed at: 23 days ago - Stars: 0 - Forks: 0

google-deepmind/dsprites-dataset

Dataset to assess the disentanglement properties of unsupervised learning methods

Language: Jupyter Notebook - Size: 28.2 MB - Last synced at: 27 days ago - Pushed at: over 4 years ago - Stars: 499 - Forks: 68

YannDubs/disentangling-vae

Experiments for understanding disentanglement in VAE latent representations

Language: Python - Size: 222 MB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 814 - Forks: 145

Minitechy/betaVAE_variants

beta-VAE variants trained using deep neural networks on the dSprites dataset with PyTorch

Language: Jupyter Notebook - Size: 23.4 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

zombieTDV/CNN_and_Beta-VAE-

CNN and Beta-VAE implementation. Only Numpy as the main library.

Language: Python - Size: 132 KB - Last synced at: about 2 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

thomasjv799/Beta-VAE-on-Animal-Face

Using Beta VAE to test on faces of animal

Language: Jupyter Notebook - Size: 1000 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 2 - Forks: 0

Bhavik-Ardeshna/pytorch-VAE

Variational Autoencoder and a Disentangled version (beta-VAE) implementation in PyTorch-Lightning

Language: Python - Size: 83.4 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

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 - Size: 24.1 MB - Last synced at: about 1 year ago - Pushed at: almost 4 years ago - Stars: 52 - Forks: 20

AloneTogetherY/disentangled-VAE

Disentangling the latent space of a VAE.

Language: Python - Size: 28.5 MB - Last synced at: 12 months ago - Pushed at: over 3 years ago - Stars: 6 - Forks: 1

miyosuda/disentangled_vae

Replicating "Understanding disentangling in β-VAE"

Language: Python - Size: 6.93 MB - Last synced at: about 1 year ago - Pushed at: almost 7 years ago - Stars: 192 - Forks: 38

Minitechy/betaVAE_dis

Investigating Disentanglement in beta-VAE within a Linear Gaussian Setting

Language: Jupyter Notebook - Size: 1.24 MB - Last synced at: about 2 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

Minitechy/betaVAE_recon

Augmenting Reconstruction Accuracy in beta-VAE Model through Linear Gaussian Framework

Language: Jupyter Notebook - Size: 1.19 MB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

EugenHotaj/pytorch-generative

Easy generative modeling in PyTorch.

Language: Python - Size: 53.7 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 366 - Forks: 59

1Konny/Beta-VAE

Pytorch implementation of β-VAE

Language: Python - Size: 3.86 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 466 - Forks: 119

1Konny/FactorVAE

Pytorch implementation of FactorVAE proposed in Disentangling by Factorising(http://arxiv.org/abs/1802.05983)

Language: Python - Size: 7.83 MB - Last synced at: over 1 year ago - Pushed at: almost 7 years ago - Stars: 242 - Forks: 48

kumatheworld/fakeglyph

Fancy brand new letters with generative models

Language: Python - Size: 35.2 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

kundan2510/vae_celeba

Language: Python - Size: 208 KB - Last synced at: almost 2 years ago - Pushed at: over 8 years ago - Stars: 8 - Forks: 3

Glaciohound/SCAN Fork of 1Konny/Beta-VAE

Pytorch implementation of SCAN: Learning Hierarchical Compositional Visual Concepts, Higgins et al., ICLR 2018

Language: Python - Size: 14.7 MB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 10 - Forks: 1

Kyushik/Generative-Model

Repository for implementation of generative models with Tensorflow 1.x

Language: Jupyter Notebook - Size: 209 MB - Last synced at: almost 2 years ago - Pushed at: almost 5 years ago - Stars: 69 - Forks: 8

marisancans/frame-predict-VAE-LSTM

Predicting image frames using autoencoder and LSTM

Language: Python - Size: 147 MB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 31 - Forks: 9

1Konny/WAE-pytorch

Language: Python - Size: 5.56 MB - Last synced at: about 2 years ago - Pushed at: about 6 years ago - Stars: 62 - Forks: 20

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 - Size: 9.22 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

mmrl/disent-and-gen

Code from the article: "The Role of Disentanglement in Generalisation" (ICLR, 2021).

Language: Jupyter Notebook - Size: 815 KB - Last synced at: almost 2 years ago - Pushed at: almost 3 years ago - Stars: 22 - Forks: 0

1Konny/idgan

Official PyTorch implementation on ID-GAN: High-Fidelity Synthesis with Disentangled Representation by Lee et al., 2020.

Language: Python - Size: 42 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 29 - Forks: 8

masashi-hatano/beta-vae

Image generation of MNIST via beta-VAE

Language: Jupyter Notebook - Size: 872 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

saashd/controlVAE

ML2 Project following ControlVAE: Tuning, Analytical Properties, and Performance Analysis

Language: Jupyter Notebook - Size: 205 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 0

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.

Size: 16.6 KB - Last synced at: 2 months ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

sungsujaing/letter_digit_generator_VAE

generate arbitrary handwritten letter/digits based on the inputs

Language: Jupyter Notebook - Size: 74.4 MB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 3 - Forks: 0

JohanYe/Beta-VAE

Pytorch implementation of a simple beta vae on dsprites data

Language: Python - Size: 5.26 MB - Last synced at: almost 2 years ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0

yordanh/sbd-torch

Spatial Broadcast Decoder implementation in PyTorch on top of Docker.

Language: Python - Size: 4.88 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 1

dawnJ/chainer-VAE Fork of crcrpar/chainer-VAE

the same as official VAE example, but using Trainer in this repo

Language: Python - Size: 11 MB - Last synced at: about 2 years ago - Pushed at: over 8 years ago - Stars: 0 - Forks: 0

dawnJ/dsprites-dataset Fork of deepmind/dsprites-dataset

Dataset to assess the disentanglement properties of unsupervised learning methods

Language: Jupyter Notebook - Size: 28.2 MB - Last synced at: about 2 years ago - Pushed at: almost 8 years ago - Stars: 0 - Forks: 0

dawnJ/chainer Fork of chainer/chainer

A flexible framework of neural networks for deep learning

Language: Python - Size: 16.8 MB - Last synced at: about 2 years ago - Pushed at: over 7 years ago - Stars: 0 - Forks: 0