Neural_Network_Potential-nnp-

by tamaswells Python Version: Current License: No License

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

kandi X-RAY | Neural_Network_Potential-nnp- Summary

Neural_Network_Potential-nnp- is a Python library. Neural_Network_Potential-nnp- has no bugs, it has no vulnerabilities and it has low support. However Neural_Network_Potential-nnp- build file is not available. You can download it from GitHub.

Neural_Network_Potential-nnp-

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Quality

Security

License

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Support

Neural_Network_Potential-nnp- has a low active ecosystem.

It has 2 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

Neural_Network_Potential-nnp- has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Neural_Network_Potential-nnp- is current.

Quality

Neural_Network_Potential-nnp- has no bugs reported.

Security

Neural_Network_Potential-nnp- has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

Neural_Network_Potential-nnp- 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

Neural_Network_Potential-nnp- releases are not available. You will need to build from source code and install.

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

Top functions reviewed by kandi - BETA

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

Reads the Gaussian for energy and force .
Calculate the cell .
Write training data .
Argument parser .
Calculate the sae coefficient for a set of species .
Validate the model .
Returns the list of present species .
Fill missing energies in species .
Initialize kaiming parameters .
Return global energy .

Get all kandi verified functions for this library.

Neural_Network_Potential-nnp- Key Features

No Key Features are available at this moment for Neural_Network_Potential-nnp-.

Neural_Network_Potential-nnp- Examples and Code Snippets

No Code Snippets are available at this moment for Neural_Network_Potential-nnp-.

Community Discussions

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

Vulnerabilities

No vulnerabilities reported

Install Neural_Network_Potential-nnp-

You can download it from GitHub.
You can use Neural_Network_Potential-nnp- 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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