CAFD | Aware Frechet Distance for GANs in Tensorflow | Machine Learning library

by B1ueber2y Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | CAFD Summary

CAFD is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch, Tensorflow, Generative adversarial networks applications. CAFD has no bugs, it has no vulnerabilities and it has low support. However CAFD build file is not available. You can download it from GitHub.

Class-Aware Frechet Distance (CAFD) for GANs in Tensorflow. Source code for "An Improved Evaluation Framework for Generative Adversarial Networks" [pdf].

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Quality

Security

License

Reuse

Support

CAFD has a low active ecosystem.

It has 16 star(s) with 2 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 1 have been closed. On average issues are closed in 10 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of CAFD is current.

Quality

CAFD has 0 bugs and 0 code smells.

Security

CAFD has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

CAFD code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

CAFD 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.

Reuse

CAFD releases are not available. You will need to build from source code and install.

CAFD has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions, examples and code snippets are available.

CAFD saves you 210 person hours of effort in developing the same functionality from scratch.

It has 516 lines of code, 30 functions and 8 files.

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

Top functions reviewed by kandi - BETA

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

Get an image
Center a crop
Transform an image
Read an image file
Calculate the cafd value for given paths
Calculate activation statistics
Calculate activation statistics
Calculate activations
Generate a tensorflow
Conv2d convolutional layer
Creates a linear layer
Computes the loss of the discriminator
Define discriminator
Loads checkpoint
Save data to csv
Saves the model
Compute discriminator

Get all kandi verified functions for this library.

CAFD Key Features

No Key Features are available at this moment for CAFD.

CAFD Examples and Code Snippets

No Code Snippets are available at this moment for CAFD.

Community Discussions

Trending Discussions on CAFD

Generate Powerset of length 4 using Java-8 is possible

Splitting XML file into multiple at given tags ex: tags using python

QUESTION

Generate Powerset of length 4 using Java-8 is possible

Asked 2020-Jan-21 at 10:20

I have been able to generate the all permutation of length 4 from a string, the problem that I am facing now is that all the permutation have duplicates like {abcd) ,{adbc},{bcda}...which are all same as from Mathematical definition of set.

Is there a short version in java-8 where I can get the pure set?

My code that generated the all permutation:

...

ANSWER

Answered 2020-Jan-21 at 09:44

If you want to find the unique words (without considering order of characters, as you mentioned), you can do one additional step after permutation is done.

Source https://stackoverflow.com/questions/59837964

QUESTION

Splitting XML file into multiple at given tags ex: tags using python

Asked 2019-Dec-31 at 05:59

Hi am having one big xml file, here i wanted split that xml file into multiple files based on the id(here id is unique). present am having xml file with 3 unique tag ids, I want to split them.

my file is as below

main.xml

...

ANSWER

Answered 2019-Dec-31 at 05:59

We just need to find out the Index of your tag(s) from root and clear them and save into new xml file

Source https://stackoverflow.com/questions/59486753

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

Vulnerabilities

No vulnerabilities reported

Install CAFD

You can manually download the domain-specific encoder and assign its path in cafd.py. Precalculated features for CAFD calculation are made available.
mnist.pb [GoogleDrive]
fashion-mnist.pb [GoogleDrive]
mnist.csv [GoogleDrive]
fashion-mnist.csv [GoogleDrive]

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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