TensorFlow-GAN | Generative adversarial nets using tensorflow | Machine Learning library

by saikatbsk Python Version: Current License: No License

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

kandi X-RAY | TensorFlow-GAN Summary

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

Generative adversarial nets using tensorflow

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Support

TensorFlow-GAN has a low active ecosystem.

It has 9 star(s) with 5 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

TensorFlow-GAN has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of TensorFlow-GAN is current.

Quality

TensorFlow-GAN has no bugs reported.

Security

TensorFlow-GAN has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

TensorFlow-GAN 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

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

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

Top functions reviewed by kandi - BETA

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

Plot samples .
Generate Gaussian distribution .
Computes the discriminator .
Xavier initialization .
Generate random samples .

Get all kandi verified functions for this library.

TensorFlow-GAN Key Features

No Key Features are available at this moment for TensorFlow-GAN.

TensorFlow-GAN Examples and Code Snippets

No Code Snippets are available at this moment for TensorFlow-GAN.

Community Discussions

Trending Discussions on TensorFlow-GAN

Why do I get a BufferOverflowException when running a TensorFlowLite Model?

Cant import Tensorflow 2.2.0rc2 in Google Colab when installed from setup.py

QUESTION

Why do I get a BufferOverflowException when running a TensorFlowLite Model?

Asked 2020-Sep-08 at 05:32

I want to run a custom tflite model on Android using TensorFlowLite (and using Kotlin). Despite using the TFLite support library to create a supposedly correctly shaped input and output buffer I get the following error message everytime I'm calling my run() method.

Here is my class:

...

ANSWER

Answered 2020-Sep-08 at 05:32

Does adding .rewind() to your input and output buffer make it work? If not, I wonder if your input or output tensor is dynamic tensor? In which case the return shape is not usable this way.

Source https://stackoverflow.com/questions/63742300

QUESTION

Cant import Tensorflow 2.2.0rc2 in Google Colab when installed from setup.py

Asked 2020-Mar-31 at 11:25

Im trying to import the latest rc2 version of Tensorflow (2.2.0rc2 at this date) in Google Colab, but cant do it when installed from my setup.py install script.

When i install Tensorflow manually using !pip install tensorflow==2.2.0rc2 from a Colab cell, everything is ok and im able to import Tensorflow.

The next is how i have my dependencies installation setup in Google Colab:

...

ANSWER

Answered 2020-Mar-30 at 18:31

I found a work around, but this is not the solution to this problem by far, so this will not be accepted as solution, but will help people in same trouble to keep going with their work:

Install your requirements manually before installing your custom package, in my case, this is pip install -r "/content/deep-deblurring/requirements.txt":

Source https://stackoverflow.com/questions/60936032

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

Vulnerabilities

No vulnerabilities reported

Install TensorFlow-GAN

You can download it from GitHub.
You can use TensorFlow-GAN 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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