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beta-vae-normalizing-flows
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Kaan Güney Keklikçi
beta-vae-normalizing-flows
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7da6effb
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7da6effb
authored
Oct 09, 2021
by
kaanguney
Committed by
GitHub
Oct 09, 2021
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*
refer to other directories first if you don't want to take a fast-track
*
Noisy moons
*
initial test data
;
[
see usage
](
https://scikit-learn.org/stable/modules/generated/sklearn.datasets.make_moons.html
)
*
initial test data
-
[
see usage
](
https://scikit-learn.org/stable/modules/generated/sklearn.datasets.make_moons.html
)
*
Thoracic surgery
*
current test data
;
[
find out more
](
https://www.kaggle.com/sid321axn/thoraric-surgery
)
*
current test data
-
[
find out more
](
https://www.kaggle.com/sid321axn/thoraric-surgery
)
*
Beta-VAE
*
variational autoencoder algorithm extended with a beta parameter to put implicit pressure on the learnt posterior
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@@ -28,7 +28,7 @@
*
Poisson
*
MAE
*
Cross Entropy
*
Statistical measures are in progress
,
ex. CI's, p-values, etc. if needed
*
Statistical measures are in progress
-
ex. CI's, p-values, etc. if needed
### References
*
Rezende, D. J., & Mohamed, S. (2015).
[
Variational Inference with Normalizing Flows.
](
https://arxiv.org/abs/1505.05770v6
)
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