HyperGAN | Generative Model for Neural Networks | Machine Learning library

by neale Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | HyperGAN Summary

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

HyperGAN generates fully trained neural networks simply by sampling from noise. No large dataset of fully trained examples needed. We use repeated MLE estimates to bring the generators closer to generating samples from the true distribution. In the end, we have fully trained neural networks that can be instantly generated. Large ensembles are trivial to create and expand. Generating a huge ensemble (100-1000 or more networks) allows us to fully approximate the learned distribution of neural networks. Allowing us to make advances in anomaly detection and uncertainty estimation.

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HyperGAN has a low active ecosystem.

It has 17 star(s) with 7 fork(s). There are 5 watchers for this library.

It had no major release in the last 6 months.

HyperGAN has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of HyperGAN is current.

Quality

HyperGAN has no bugs reported.

Security

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

License

HyperGAN 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

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

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

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

Top functions reviewed by kandi - BETA

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

Train the given generator
Train encoder
Calculate the loss of the loss
Compute the pretraining loss
Set the ngen number
Computes the log density of a given array
Train the model
Calculate the k - f function
Load CIFAR10 dataset
Calculate cross entropy
Evaluate MNIST
Load MNIST dataset
Evaluate MNIST ensemble
Return a dictionary of all the network features
Load command line arguments

Get all kandi verified functions for this library.

HyperGAN Key Features

No Key Features are available at this moment for HyperGAN.

HyperGAN Examples and Code Snippets

No Code Snippets are available at this moment for HyperGAN.

Community Discussions

Trending Discussions on HyperGAN

Trying to install pygame on ubuntu which gives error

How do you obtain the output and input values of a model in tensorflow?

Tensorflow-GPU unable to import

QUESTION

Trying to install pygame on ubuntu which gives error

Asked 2018-Oct-28 at 14:31

I am trying to install pygame using pip but whenever I do I get the error Command "python setup.py egg_info" failed with error code 1 in /tmp/pip-build-hZGMxh/pygame/. On the sites I have visited googling the errors it says to update setuptools. I do that but it tells me I already have the latest version. Below is the error I receive when I try to install it. I need it to use HyperGAN so I can't install python3-pygame as that is not installed as pygame so I get a no module named "pygame" installed. Many thanks.

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ANSWER

Answered 2018-Oct-28 at 14:31

The latest pygame doesn't have all the binary packages (aka wheels). Try installing an older one.

Source https://stackoverflow.com/questions/53031260

QUESTION

How do you obtain the output and input values of a model in tensorflow?

Asked 2017-Dec-12 at 11:45

I am working on GANs and decided to implement my algorithm using HyperGAN. Its a wrapper on DCGANs using TensorFlow. HyperGAN saves the output using TF's checkpoint method.

Later, I tried to run the load the model using:

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ANSWER

Answered 2017-May-24 at 17:16

You should try to print the list of tensors within the graph:

Source https://stackoverflow.com/questions/44161072

QUESTION

Tensorflow-GPU unable to import

Asked 2017-Aug-26 at 17:27

I am trying to use Hypergan. When i Import tensorflow i get the following error message: I am using CUDA V8 on Windows 10 with CudNN V5.1 . I moved the the Cudnn files to the acording Cuda Folders and added the Path Variables. I installed the Visual C++ Redistuable 2017 aswell.

Any Clue where the error is? Greetings Tobias

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ANSWER

Answered 2017-Aug-26 at 17:27

TL;DR: With Tensorflow 1.3.0 pre-built use cuDNN 6, not cuDNN 5.1

I assume you are using the latest binaries released for the 1.3.0 setup. our problem is that you're using cuDNN 5.1 when you should use cuDNN 6, because since TF 1.3.0 they build against that one instead. As stated in this GitHub issue discussion, the websites were out of date and the installation guide told you to use the wrong cuDNN version. The issue should be fixed now, though.

Source https://stackoverflow.com/questions/45897627

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

Vulnerabilities

No vulnerabilities reported

Install HyperGAN

You can download it from GitHub.
You can use HyperGAN 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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