convcnp | Implementation of the Convolutional Conditional Neural
kandi X-RAY | convcnp Summary
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
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.
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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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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of convcnp
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of convcnp
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.
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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