https://github.com/algorithmiaio/model-deployment

Examples showcasing model deployment
https://github.com/algorithmiaio/model-deployment

algorithmia machine-learning model-deployment tensorflow tensorflow-examples tensorflow-tutorials

Last synced: 3 months ago
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Examples showcasing model deployment

• Host: GitHub
• URL: https://github.com/algorithmiaio/model-deployment
• Owner: algorithmiaio
• Created: 2019-04-26T20:57:48.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2023-10-17T21:16:24.000Z (about 1 year ago)
• Last Synced: 2024-09-28T10:04:05.921Z (3 months ago)
• Topics: algorithmia, machine-learning, model-deployment, tensorflow, tensorflow-examples, tensorflow-tutorials
• Language: Jupyter Notebook
• Homepage: https://algorithmia.com
• Size: 4.48 MB
• Stars: 17
• Watchers: 13
• Forks: 9
• Open Issues: 17
• Metadata Files:
  • Readme: README.md

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README

        
# 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)