pytorch-lightning-vae | VAE for color images

by williamFalcon Python Version: Current License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | pytorch-lightning-vae Summary

pytorch-lightning-vae is a Python library. pytorch-lightning-vae has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

VAE for color images

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Quality

Security

License

Reuse

Support

pytorch-lightning-vae has a low active ecosystem.

It has 74 star(s) with 7 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

There are 4 open issues and 0 have been closed. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of pytorch-lightning-vae is current.

Quality

pytorch-lightning-vae has 0 bugs and 1 code smells.

Security

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

pytorch-lightning-vae code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

pytorch-lightning-vae is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

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

Build file is available. You can build the component from source.

Installation instructions are not available. Examples and code snippets are available.

It has 97 lines of code, 8 functions and 2 files.

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

Top functions reviewed by kandi - BETA

kandi has reviewed pytorch-lightning-vae and discovered the below as its top functions. This is intended to give you an instant insight into pytorch-lightning-vae implemented functionality, and help decide if they suit your requirements.

Performs a training step
Calculates the KL divergence of the KL divergence
Calculate the gaussian log - likelihood of a given image
Train an image

Get all kandi verified functions for this library.

pytorch-lightning-vae Key Features

No Key Features are available at this moment for pytorch-lightning-vae.

pytorch-lightning-vae Examples and Code Snippets

No Code Snippets are available at this moment for pytorch-lightning-vae.

Community Discussions

No Community Discussions are available at this moment for pytorch-lightning-vae.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install pytorch-lightning-vae

You can download it from GitHub.
You can use pytorch-lightning-vae like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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