safekit

by pnnl Python Version: Current License: MIT

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

kandi X-RAY | safekit Summary

safekit is a Python library. safekit has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

safekit

Support

Quality

Security

License

Reuse

Support

safekit has a low active ecosystem.

It has 124 star(s) with 48 fork(s). There are 14 watchers for this library.

It had no major release in the last 6 months.

There are 5 open issues and 2 have been closed. On average issues are closed in 306 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of safekit is current.

Quality

safekit has 0 bugs and 0 code smells.

Security

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

safekit code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

safekit is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

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

Build file is available. You can build the component from source.

safekit saves you 42369 person hours of effort in developing the same functionality from scratch.

It has 50162 lines of code, 278 functions and 79 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

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

Execute the module
Construct the manpage section of the parser
Format optional arguments
Format positional arguments
Binar layer
Apply fan scale
Computes softmax distance loss
Augment the datadict
Transform a matrix
Replay a single batch
Sample a single - class model
Create a tiered LSTM
Perform a swapping RNN
Get the names of the loss_spec
Train the model
Create a parser object for DNN
Computes the diagonal of the covariance matrix
Join multivariate inputs into placeholders
Layer normalization layer
Return the next batch of data
Compute a multivariate loss
Lmention layer
Argument parser
Convolutional network
Creates weights
Train a model

Get all kandi verified functions for this library.

safekit Key Features

No Key Features are available at this moment for safekit.

safekit Examples and Code Snippets

No Code Snippets are available at this moment for safekit.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install safekit

You can download it from GitHub.
You can use safekit 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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