MLPipe-Manager | NodeJS server backend to distribute & manage Keras

by aeon0 TypeScript Version: Current License: MIT

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

kandi X-RAY | MLPipe-Manager Summary

MLPipe-Manager is a TypeScript library. MLPipe-Manager has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

NodeJS server backend to train & manage Keras/Tensorflow trainings. The MLPipe system also provides a lightwight python package to send your Keras/Tensorflow trainings to the backend, MLPipe-Trainer. As well as a GUI to easly interact with the Manager, MLPipe-Viewer.

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Quality

Security

License

Reuse

Support

MLPipe-Manager has a low active ecosystem.

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

It had no major release in the last 6 months.

MLPipe-Manager has no issues reported. There are 6 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of MLPipe-Manager is current.

Quality

MLPipe-Manager has no bugs reported.

Security

MLPipe-Manager has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

MLPipe-Manager 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

MLPipe-Manager 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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MLPipe-Manager Key Features

No Key Features are available at this moment for MLPipe-Manager.

MLPipe-Manager Examples and Code Snippets

No Code Snippets are available at this moment for MLPipe-Manager.

Community Discussions

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Vulnerabilities

No vulnerabilities reported

Install MLPipe-Manager

Currently tested with LTS Node v10.16.3
Spin up your server, connect to it and checkout the MLPipe-Manager repository
If you have not yet, install MongoDB. Docu here
Make a copy of the .env.template file, rename it to .env and adjust the fields: MONGODB_URI, MONGODB_URI_TEST, USER_TOKEN
Note: This is optional in case you want to terminate AWS spot requests automatically after training is finished Create the file ~/.aws/credentials (Linux/Mac) or C:\Users\USERNAME\.aws\credentials (Windows):. Find/create this key with: log in to aws console -> click on your user name -> My Security Credentials -> Access keys In the .env file you can specify the region to be used e.g. AWS_REGION=eu-west-3.
To run it with pm2, run >> pm2 --name MLPipe-Manager start npm -- start Note, in case you are not using any webserver and want to access the api through http://ip:port, dont forget to open the port in case you use any firewall. Alternatively, server the API via a webserver and domain.

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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