Create AI/ML systems in the cloud through Azure Notebooks, F# & .NET Core with MLOps environments
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Updated
Dec 17, 2019 - Jupyter Notebook
Create AI/ML systems in the cloud through Azure Notebooks, F# & .NET Core with MLOps environments
A notebook showing how to easily convert a current notebook you have to a notebook that can be run on Kubeflow Pipelines.
This project repository hosts notebook, manifests and guides to deploy dog breed classification Machine Learning Web Application on Google Kubernetes Engine (GKE) Autopilot.
Some collected and improved Jupyter Notebook Templates for MLOps, mainly for Kubeflow pipelines on GCP Vertex AI platform and Tensorflow Extended pipelines.
A simple repository demonstrating transforming a .ipynb machine learning notebook to a deployed rest API using Flit, Flask, and Heroku.
Data transformations toolkit made from jupyter notebook: https://www.kaggle.com/fabiendaniel/customer-segmentation
Pediatric Bone Age Assessment
Cuttle automates the transformation of your Python notebook into deployment-ready projects (API, ML pipeline, or just a Python script)
Machine Learning Engineering Notebook
Bodywork deployment template demonstrating how to build ML pipelines with Jupyter notebooks and Bodywork.
Render Jupyter Notebooks With Metaflow Cards
Repo for all Google Colab notebooks and data set
Public reusable components for Polyaxon
Slides and notebook for the workshop on serving bert models in production
A boilerplate to transform research notebooks into production-level code which uses the a Kaggle dataset on customer churn.
Python Machine Learning (ML) project that demonstrates the archetypal ML workflow within a Jupyter notebook, with automated model deployment as a RESTful service on Kubernetes.
Fast and easy Jupyter notebooks
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