https://github.com/crivero7/rackioai

Rackio Artificial Intelligence for automation and control industry as a web service
https://github.com/crivero7/rackioai

ai keras keras-deep-learning keras-neural-networks python rackio tensorflow2

Last synced: 26 days ago
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Rackio Artificial Intelligence for automation and control industry as a web service

• Host: GitHub
• URL: https://github.com/crivero7/rackioai
• Owner: crivero7
• License: mit
• Created: 2020-10-06T18:29:19.000Z (about 4 years ago)
• Default Branch: master
• Last Pushed: 2023-03-14T21:20:20.000Z (over 1 year ago)
• Last Synced: 2024-10-13T00:41:30.793Z (26 days ago)
• Topics: ai, keras, keras-deep-learning, keras-neural-networks, python, rackio, tensorflow2
• Language: Smarty
• Homepage: https://github.com/crivero7/RackioAI
• Size: 4.85 MB
• Stars: 1
• Watchers: 1
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Contributing: docs/contributing.md
  • License: LICENSE
  • Code of conduct: CODE_OF_CONDUCT.md

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README

        
# RackioAI

**RackioAI** is a [Rackio](https://github.com/rack-io/rackio-framework) extension for Artificial Intelligence (AI) models.

The project was started in 2020 by [Carlos Rivero](https://github.com/crivero7) as a *Leak Detection System* and *Virtual Analyzer*

 project at [Intelcon System C.A](http://intelconsystem.com/) and [MCL Control S.A](http://mclcontrol.com/) respectively as a workaround to development and deployment *Deep Learning* models faster way.

# Installation

## Dependencies

**RackioAI** requieres:

* Python (>=3.7)

* scikit-learn

* easy-deco

* Pillow (8.0.0)

* Rackio (1.0.2)

___

## User installation

The easiest way to install **RackioAI** is using pip

> pip install RackioAI

 

```

## User instantiation

To use it in any python project you can import it using:

```python

from rackio_AI import RackioAI

```

Now, you can get access to **RackioAI** methods and attributes.

___

## Source code

You can check the latest sources with the command:

`git clone https://github.com/crivero7/RackioAI.git`

___

## Documentation

The RackioAI documentation can be found in [Read the Docs](https://rackioai.readthedocs.io/en/latest/)

# Todo

* Changelog

* Contributing guide

* Testing code