Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
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Updated
May 25, 2024 - Jupyter Notebook
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Stable-Diffusion-WebUI. One simple notebook for two environments: Colab/Kaggle.
An easy way to enhance DeepRacer model training using DRfC functionalities through Jupyter Notebooks. Reproducing some core functionalities provided by AWS SageMaker Notebook
Development kit for Computer Vision thought to be used on SageMaker
Example notebooks for working with SageMaker Studio Lab. Sign up for an account at the link below!
SageMakerで機械学習モデルを構築、学習、デプロイする方法が学べるNotebookと教材集
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
This repository provides a comprehensive example of training and deploying an XGBoost model using Amazon SageMaker. The Jupyter Notebook guides users through the entire process, from importing necessary libraries, creating an S3 bucket, and downloading datasets to training the model, deploying it as an endpoint, and making predictions.
This repo contains information regarding cloud offerings of OpenVINO™ and demos to showcase OpenVINO™ via sample Jupyter notebooks.
Tools to run Jupyter notebooks as jobs in Amazon SageMaker - ad hoc, on a schedule, or in response to events
Implement pipeline between services, notebook, aws for automate recommendation engine
Generative AI engineering notebooks
A continuous integration (CI) system for 📓 Jupyter notebooks, built using 🧠 Amazon SageMaker.
This repo contain example notebooks with instructions on using Intel AI Software listed in AWS SageMaker Marketplace.
📕 This project contains a SageMaker Studio notebook that uses the DeepAR model to predict StockX sneaker prices.
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