Data governance through AWS LakeFormation credentials vending API
-
Updated
May 17, 2024 - Jupyter Notebook
Data governance through AWS LakeFormation credentials vending API
Proyecto final de la asignatura de Arquitecturas Empresariales.
Time Series Analysis on Sagemaker
Terraform module to create and manage a SageMaker studio
A search application using Aurora Postgresql and pgvector for an online retail store product catalog
Training different models for Predicting Bike Sharing Demand by using AutoGluon's TabularPredictor.fit() on AWS SageMaker Studio
Amazon SageMaker training jobs using Snowpark Python API
Image Classifiers are used in the field of computer vision to identify the content of an image and it is used across a broad variety of industries, from advanced technologies like autonomous vehicles and augmented reality, to eCommerce platforms, and even in diagnostic medicine.
A repo for creating Sagemaker jobs
A Python-based library for automating the migration of EFS storage from one SageMaker Studio domain to another using AWS DataSync
The primary objective of this project was to build and deploy an image classification model for Scones Unlimited, a scone-delivery-focused logistic company, using AWS SageMaker.
Tools and IAC to setup SageMaker Studio for team collaboration.
The primary objective of this project was to build and deploy an image classification model for Scones Unlimited, a scone-delivery-focused logistic company, using AWS SageMaker.
Best practices for prompting for Meta's Llama2 Large Language Model using Amazon Sagemaker
A small collection of custom kernels for running Sagemaker Notebooks an Training Jobs
SageMaker Experiments and DVC
Sagemaker Studio Docker UI Extension
This solution provides a way to deploy SageMaker Studio in a private and secure environment. The solution integrates with a Custom SAML 2.0 Application as the mechanism to trigger the authentication to Amazon SageMaker Studio with the ability to limit the authorization to specific network environments.
Add a description, image, and links to the sagemaker-studio topic page so that developers can more easily learn about it.
To associate your repository with the sagemaker-studio topic, visit your repo's landing page and select "manage topics."