vae-anomaly-detector VS disentangling-vae

Compare vae-anomaly-detector vs disentangling-vae and see what are their differences.

vae-anomaly-detector

Experiments on unsupervised anomaly detection using variational autoencoder. The variational autoencoder is implemented in Pytorch. (by JGuymont)
vae Pytorch anomaly-detection Machine Learning Deep Learning variational-autoencoder
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disentangling-vae

Experiments for understanding disentanglement in VAE latent representations (by YannDubs)
beta-vae factor-vae vae variational-autoencoder unsupervised-learning celeba dsprites beta-tcvae disentangled-representations chairs-dataset Mnist fashion-mnist representation-learning reproducible-research Deep Learning Pytorch disentanglement
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vae-anomaly-detector disentangling-vae
1 1
67 766
- -
0.0 0.0
11 months ago over 1 year ago
Python Python
MIT License GNU General Public License v3.0 or later
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vae-anomaly-detector

Posts with mentions or reviews of vae-anomaly-detector. We have used some of these posts to build our list of alternatives and similar projects.

disentangling-vae

Posts with mentions or reviews of disentangling-vae. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-02-08.

What are some alternatives?

When comparing vae-anomaly-detector and disentangling-vae you can also consider the following projects:

PyTorch-VAE - A Collection of Variational Autoencoders (VAE) in PyTorch.

Efficient-VDVAE - Official Pytorch and JAX implementation of "Efficient-VDVAE: Less is more"

precision-recall-distributions - Assessing Generative Models via Precision and Recall (official repository)

ODMO - [ACMMM 2022] Official PyTorch Implementation of "Action-conditioned On-demand Motion Generation". ACM MultiMedia 2022.

scvi-tools - Deep probabilistic analysis of single-cell and spatial omics data

fcdd - Repository for the Explainable Deep One-Class Classification paper

classification - Classification of the MNIST dataset using various Deep Learning techniques

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

CelebAMask-HQ - A large-scale face dataset for face parsing, recognition, generation and editing.

minimal_VAE_on_Mario - A minimal VAE trained on Super Mario Bros levels.

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

vae-anomaly-detector vs PyTorch-VAE disentangling-vae vs Efficient-VDVAE vae-anomaly-detector vs precision-recall-distributions disentangling-vae vs PyTorch-VAE vae-anomaly-detector vs ODMO disentangling-vae vs scvi-tools vae-anomaly-detector vs fcdd disentangling-vae vs classification disentangling-vae vs benchmark_VAE disentangling-vae vs CelebAMask-HQ disentangling-vae vs minimal_VAE_on_Mario disentangling-vae vs Awesome-VAEs