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wasserstein-autoencoder

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clementchadebec /benchmark_VAE

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

benchmarking reproducible-research pytorch comparison vae pixel-cnn reproducibility beta-vae vae-gan normalizing-flows variational-autoencoder vq-vae wasserstein-autoencoder vae-implementation vae-pytorch

UpdatedJul 31, 2024
Python

1Konny /WAE-pytorch

vae beta-vae wgan wasserstein-gan wae wasserstein-autoencoder

UpdatedApr 15, 2019
Python

hiwonjoon /wae-wgan

Reimplementation of Wasserstein Auto Encoder (WAE) with Wasserstein GAN based penalty D_Z in Tensorflow

tensorflow mnist celeba wgan tf wasserstein-gan wae wasserstein-autoencoder

UpdatedMar 28, 2019
Jupyter Notebook

w00zie /wae_music

Music generation with Wasserstein Autoencoders

deep-learning autoencoder music-generation generative-models wae wasserstein-autoencoder wasserstein-autoencoders tensorflow2 wae-mmd wae-gan

UpdatedDec 14, 2020
Python

irfixq /Investigate_WAE_in_BrainMRI

This research project intent is to review and demonstrate a comparability among recent auto-encoder methods by utilizing single architecture and resolution. Each method will be ranked based on selective performance measure in modeling healthy brain and the sensitivity towards domain shift.

deep-neural-networks autoencoder anomaly-detection wasserstein-gan wasserstein-autoencoder autoencoder-neural-network brain-mri-images unsupervised-anomaly-detection

UpdatedJan 29, 2021
Python

w00zie /wae_mnist

Wasserstein Autoencoders implementation in Tensorflow 2

tf2 mnist generative-models wae wasserstein-autoencoder wasserstein-autoencoders tensorflow2 wae-mmd wae-gan

UpdatedAug 2, 2020
Python

iamvibhorsingh /Novel-metric-to-calculate-similarity-between-original-and-WAE-synthesized-image

This is the code implementation of our research paper in AICAI '19 Dubai.

mmd wasserstein-autoencoder wae-mmd quasi-euclidean

UpdatedAug 9, 2020
Jupyter Notebook

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