litenn | Lightweight machine learning library based on OpenCL

by iperov Python Version: 2020.11.230 License: MIT

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

kandi X-RAY | litenn Summary

litenn is a Python library. litenn has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install litenn' or download it from GitHub, PyPI.

Lightweight machine learning library based on OpenCL 1.2

Support

Quality

Security

License

Reuse

Support

litenn has a low active ecosystem.

It has 66 star(s) with 9 fork(s). There are 4 watchers for this library.

It had no major release in the last 12 months.

There are 3 open issues and 0 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of litenn is 2020.11.230

Quality

litenn has 0 bugs and 0 code smells.

Security

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

litenn code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

litenn 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

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

Deployable package is available in PyPI.

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

Installation instructions, examples and code snippets are available.

Top functions reviewed by kandi - BETA

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

Transposes input_n .
2D convolutional convolution .
Ask the user to choose a list of devices .
Helper function for depth - wise convolutional .
Test the dual operator .
include_hash
Helper function for numpy . pool .
Test for a test .
Recursively dump the state of the object .
Test Matmul .

Get all kandi verified functions for this library.

litenn Key Features

No Key Features are available at this moment for litenn.

litenn Examples and Code Snippets

No Code Snippets are available at this moment for litenn.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install litenn

pip install litenn import litenn as nn nn.test.all(). #machinelearning #machine-learning #deep-learning #deeplearning #deep-neural-networks #neural-networks #neural-nets #opencl.

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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