anshupandey/Deploy_Machine_Learning_Projects

This repository contains the examples of deploying AI, ML models using Python, Django and other techniques.

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This project provides practical examples for taking your trained AI or machine learning models and making them accessible to others, typically as web applications. You start with a finalized model (like a saved scikit-learn or TensorFlow model) and learn how to package it so that users can interact with it through a web interface. It's for data scientists or machine learning engineers who need to move their models from development into a usable product.

No commits in the last 6 months.

Use this if you have a machine learning model and need to make it available for predictions or interactions through a web-based service.

Not ideal if you are looking for advanced infrastructure for large-scale, high-availability deployments or complex MLOps pipelines.

machine-learning-deployment web-application-integration model-serving data-science-operations api-creation
No License Stale 6m No Package No Dependents
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Maturity 8 / 25
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Last pushed

Jul 01, 2024

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