TensorFlow Python Template

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A Simple Template used for uploading TensorFlow based models that can be integrated with our visualisation tools for creating customer-based solutions.

This template consists of:

  1. Model Template Component:
    • It allows uploading of model files(s) which will then be sent to the code for processing.

  2. PyTorch Python Environment Component:
    • It is initially set to Python 3.8, CPU-based image with TensorFlow 2.7.0
    • It includes additional python libraries and frameworks like pandas, numpy.
    • The environment configuration can change from the Container editor's page.

  3. PyTorch Python Script Template Component:
    • It contains a SmarterComponent Class that is needed for the platform to run the code.
    • It has an invoke method that acts as the entry point to the code. 
    • It has other code templates on loading tensor models and pre-set examples of how to receive/send data from/to front-end Graphical User Interface (GUI) Components.

  4. Inputs Component:
    • It is a form of editable Graphical User Interface that can act as input form or results visualisation tool.
    • It is designed to act as input-type form that collects input from the user to be used by the python code if desired.
    • This can be edited, disregarded, or deleted from your experiment.

  5. Outputs Component:
    • It is a form of Graphical User Interface that can act as input form or results visualisation tool.
    • It is designed to act as a results dashboard to visualize model outputs and results such as testing accuracy, prediction results, etc.
    • This can be edited, disregarded, or deleted from your experiment.

Who this resource is for

This project is aimed at creators, ML/AI Engineer and Researchers.
Created
a year ago
Skill Level
Aimed at Beginners
Version
v1.0.0
License
Lifetime

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