vae-anomaly-detector VS ODMO

Compare vae-anomaly-detector vs ODMO 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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ODMO

[ACMMM 2022] Official PyTorch Implementation of "Action-conditioned On-demand Motion Generation". ACM MultiMedia 2022. (by roychowdhuryresearch)
contrastive-learning Generator Motion Python Pytorch variational-autoencoder
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vae-anomaly-detector ODMO
1 1
67 8
- -
0.0 4.8
11 months ago 12 months ago
Python Python
MIT License MIT License
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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.

ODMO

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

What are some alternatives?

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

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

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

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

vae-anomaly-detector vs PyTorch-VAE vae-anomaly-detector vs precision-recall-distributions vae-anomaly-detector vs fcdd