convcnp | Implementation of the Convolutional Conditional Neural

by cambridge-mlg Jupyter Notebook Version: Current License: No License

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

kandi X-RAY | convcnp Summary

convcnp is a Jupyter Notebook library. convcnp has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

Implementation of the Convolutional Conditional Neural Process

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Quality

Security

License

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Support

convcnp has a low active ecosystem.

It has 109 star(s) with 17 fork(s). There are 13 watchers for this library.

It had no major release in the last 6 months.

There are 2 open issues and 3 have been closed. On average issues are closed in 58 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of convcnp is current.

Quality

convcnp has no bugs reported.

Security

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

License

convcnp 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

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

Installation instructions, examples and code snippets are available.

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convcnp Key Features

No Key Features are available at this moment for convcnp.

convcnp Examples and Code Snippets

No Code Snippets are available at this moment for convcnp.

Community Discussions

No Community Discussions are available at this moment for convcnp.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install convcnp

To begin with, clone and enter the repo. Then make a virtual environment and install the requirements. This will install the latest version of torch. If your version of CUDA is not the latest version, then you might need to install an earlier version of torch. You should now be ready to go! If you encounter any problems, feel free to open an issue, and will try to help you resolve the problem as soon as possible.
Python 3.6 or higher.
gcc and gfortran: On OS X, these are both installed with brew install gcc. On Linux, gcc is most likely already available, and gfortran can be installed with apt-get install gfortran.
fatal error: Python.h: No such file or directory: Python libraries seem to be missing. Try sudo apt-get install python3.X-dev with X replaced by your particular version.

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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