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model-deployment

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Examples showcasing model deployment

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# Model Deployment Examples

Deploy machine learning models to Algorithmia, in any framework.

## Table of Contents

* [Using Algorithmia Github Action for Continuous Deployment](https://github.com/algorithmiaio/algorithmia-modeldeployment-action) of an ML model and its serving layer
  * [to an Algorithmia algorithm backed by Algorithmia](https://github.com/algorithmiaio/githubactions-modeldeployment-demo-algorithmiaalgo)
  * [to an Algorithmia algorithm backed by Github](https://github.com/algorithmiaio/githubactions-modeldeployment-demo-githubalgo)
* [Deploying an ML model and its serving layer via Jenkins CI/CD](jenkins_deploy_algorithmia)
* [Simple Publish of an Algorithm pre-created via the Web Interface](simple_publish_model/simple_publish_model.ipynb)
* [Tensorflow Text Classification & Model Deployment with Jupyter Notebooks](tensorflow_classify_text_deploy_algorithmia/tensorflow_classify_text_deploy_algorithmia.ipynb)
* [Train an XGBoost Model on Jupyter notebook & Deploy to Algorithmia](xgboost_notebook_to_algorithmia)

## See also

* [Algorithm Management documentation](https://algorithmia.com/developers/algorithm-development/algorithm-management-api)
* [Algorithm Management API](https://docs.algorithmia.com/?python#algorithm-management-api)

model-deployment

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