generative_models | Pytorch implementations of generative models | Machine Learning library
kandi X-RAY | generative_models Summary
kandi X-RAY | generative_models Summary
generative_models is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch, Generative adversarial networks applications. generative_models has no bugs, it has no vulnerabilities and it has low support. However generative_models build file is not available. You can download it from GitHub.
Collection of generative methods in pytorch.
Collection of generative methods in pytorch.
Support
Quality
Security
License
Reuse
Support
generative_models has a low active ecosystem.
It has 87 star(s) with 17 fork(s). There are 5 watchers for this library.
It had no major release in the last 6 months.
There are 2 open issues and 1 have been closed. On average issues are closed in 13 days. There are 1 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of generative_models is current.
Quality
generative_models has 0 bugs and 0 code smells.
Security
generative_models has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
generative_models code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
generative_models 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
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.
Installation instructions are not available. Examples and code snippets are available.
generative_models saves you 1121 person hours of effort in developing the same functionality from scratch.
It has 2534 lines of code, 169 functions and 12 files.
It has medium code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of generative_models
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of generative_models
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
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 14:45The problem with the last attempt is easy to solve. Change from torch.FloatTensor to torch.LongTensor:
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.
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 .
Find more information at:
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page
