pytorch-vae | A CNN Variational Autoencoder | Machine Learning library

by sksq96 Jupyter Notebook Version: Current License: No License

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kandi X-RAY | pytorch-vae Summary

pytorch-vae is a Jupyter Notebook library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch, Tensorflow applications. pytorch-vae has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

A CNN Variational Autoencoder (CNN-VAE) implemented in PyTorch

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pytorch-vae has a low active ecosystem.

It has 252 star(s) with 55 fork(s). There are 4 watchers for this library.

It had no major release in the last 6 months.

There are 3 open issues and 3 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of pytorch-vae is current.

Quality

pytorch-vae has 0 bugs and 0 code smells.

Security

pytorch-vae has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

pytorch-vae code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

pytorch-vae does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

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pytorch-vae releases are not available. You will need to build from source code and install.

It has 506 lines of code, 28 functions and 5 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

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pytorch-vae Key Features

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pytorch-vae Examples and Code Snippets

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Community Discussions

Trending Discussions on pytorch-vae

Loading model from checkpoint is not working

How is KL-divergence in pytorch code related to the formula?

QUESTION

Loading model from checkpoint is not working

Asked 2020-Dec-03 at 02:22

I trained a vanilla vae which I modified from this repository. When I try and use the trained model I am unable to load the weights using load_from_checkpoint. It seems there is a mismatch between my checkpoint object and my lightningModule object.

I have setup an experiment (VAEXperiment) using pytorch-lightning LightningModule. I try to load the weights into the network with:

...

ANSWER

Answered 2020-Aug-04 at 12:45

Posting the answer from comments:

Source https://stackoverflow.com/questions/63243359

QUESTION

How is KL-divergence in pytorch code related to the formula?

Asked 2020-May-04 at 20:57

In VAE tutorial, kl-divergence of two Normal Distributions is defined by:

And in many code, such as here, hereand here, the code is implemented as:

...

ANSWER

Answered 2020-May-04 at 20:57

The expressions in the code you posted assume X is an uncorrelated multi-variate Gaussian random variable. This is apparent by the lack of cross terms in the determinant of the covariance matrix. Therefore the mean vector and covariance matrix take the forms

Using this we can quickly derive the following equivalent representations for the components of the original expression

Substituting these back into the original expression gives

Source https://stackoverflow.com/questions/61597340

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

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