generative_models | Generative Modelling Experiments | Data Manipulation library

by angusturner Python Version: Current License: GPL-3.0

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | generative_models Summary

generative_models is a Python library typically used in Utilities, Data Manipulation, Numpy applications. generative_models has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. However generative_models build file is not available. You can download it from GitHub.

Generative Modelling Experiments

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Support

generative_models has a low active ecosystem.

It has 20 star(s) with 6 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 0 have been closed. On average issues are closed in 539 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of generative_models is current.

Quality

generative_models has no bugs reported.

Security

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

License

generative_models is licensed under the GPL-3.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

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

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

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generative_models Key Features

No Key Features are available at this moment for generative_models.

generative_models Examples and Code Snippets

No Code Snippets are available at this moment for generative_models.

Community Discussions

Trending Discussions on generative_models

Problem with pytorch stack function with the labels of a set of images

QUESTION

Problem with pytorch stack function with the labels of a set of images

Asked 2020-Jul-27 at 14:45

I am trying to do run the following code https://github.com/kamenbliznashki/generative_models/blob/master/ssvae.py#L174 . Unfortunately I am encoutering a few problems (line 315,316).

More specifically I have a list of tensor images for example:

...

ANSWER

Answered 2020-Jul-27 at 14:45

The problem with the last attempt is easy to solve. Change from torch.FloatTensor to torch.LongTensor:

Source https://stackoverflow.com/questions/63117172

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

Vulnerabilities

No vulnerabilities reported

Install generative_models

You can download it from GitHub.
You can use generative_models 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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