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Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Model Deployment Examples\n\nDeploy machine learning models to Algorithmia, in any framework.\n\n## Table of Contents\n\n* [Using Algorithmia Github Action for Continuous Deployment](https://github.com/algorithmiaio/algorithmia-modeldeployment-action) of an ML model and its serving layer\n  * [to an Algorithmia algorithm backed by Algorithmia](https://github.com/algorithmiaio/githubactions-modeldeployment-demo-algorithmiaalgo)\n  * [to an Algorithmia algorithm backed by Github](https://github.com/algorithmiaio/githubactions-modeldeployment-demo-githubalgo)\n* [Deploying an ML model and its serving layer via Jenkins CI/CD](jenkins_deploy_algorithmia)\n* [Simple Publish of an Algorithm pre-created via the Web Interface](simple_publish_model/simple_publish_model.ipynb)\n* [Tensorflow Text Classification \u0026 Model Deployment with Jupyter Notebooks](tensorflow_classify_text_deploy_algorithmia/tensorflow_classify_text_deploy_algorithmia.ipynb)\n* [Train an XGBoost Model on Jupyter notebook \u0026 Deploy to Algorithmia](xgboost_notebook_to_algorithmia)\n\n## See also\n\n* [Algorithm Management documentation](https://algorithmia.com/developers/algorithm-development/algorithm-management-api)\n* [Algorithm Management API](https://docs.algorithmia.com/?python#algorithm-management-api)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Falgorithmiaio%2Fmodel-deployment","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Falgorithmiaio%2Fmodel-deployment","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Falgorithmiaio%2Fmodel-deployment/lists"}