sagemaker-studio
There are 39 repositories under sagemaker-studio topic.
aws-samples/sagemaker-ssh-helper
A helper library to connect into Amazon SageMaker with AWS Systems Manager and SSH (Secure Shell)
aws-samples/sagemaker-studio-custom-image-samples
This repository contains examples of Docker images that can be used as custom images for KernelGateway Apps in SageMaker Studio
aws-samples/amazon-sagemaker-mlops-workshop
MLOps workshop with Amazon SageMaker
liangyimingcom/Use-SageMaker_XGBoost-convert-Time-Series-into-Supervised-Learning-for-predictive-maintenance
使用SageMaker+XGBoost，将时间序列转换为监督学习，完成预测性维护的实践
aws-samples/sagemaker-studio-image-build-cli
CLI for building Docker images in SageMaker Studio using AWS CodeBuild.
aws-samples/amazon-sagemaker-codeserver
Hosting code-server on Amazon SageMaker
synabreu/awskrusergroup
AWS SageMaker를 이용한 MLOps와 LLMOps
clarityai-eng/sagemaker-studio-for-teams
Tools and IAC to setup SageMaker Studio for team collaboration.
aws-samples/amazon-fraud-detector-end-to-end
Sample datasets and code for operationalizing Amazon Fraud Detector using SageMaker DataWrangler, Feature Store, and Pipelines.
aws-samples/amazon-sagemaker-experiments-dvc-demo
SageMaker Experiments and DVC
aws-samples/fine-tune-embedding-models-on-sagemaker
This repository contains samples for fine-tuning embedding models using Amazon SageMaker. Embedding models are useful for tasks such as semantic similarity, text clustering, and information retrieval. Fine-tuning these models on your specific domain data can greatly improve their performance.
aws-samples/amazon-sagemaker-studio-secure-sso
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.
aws-samples/sagemaker-studio-docker-cli-extension
SageMaker Studio Docker CLI Extension
aws-samples/sagemaker-studio-docker-ui-extension
Sagemaker Studio Docker UI Extension
aws-samples/amazon-sagemaker-reusable-components
This solution shows how to deliver reusable and self-contained custom components to Amazon SageMaker environment using AWS Service Catalog, AWS CloudFormation, SageMaker Projects and SageMaker Pipelines.
aws-samples/amazon-sagemaker-data-wrangler-hospital-readmission-prediction
This is an example to demonstrate Amazon SageMaker Data Wrangler capabilities. The workshop showcases entire ML workflow steps for Diabetic Patient Readmission Dataset from UCI.
aws-samples/multi-modal-examples-for-amazon-sagemaker
A workshop for collections of multi-modal LLM examples, samples, reference architecture and demos on Amazon SageMaker.
aws-samples/amazon-sagemaker-llama2-prompting-best-practices
Best practices for prompting for Meta's Llama2 Large Language Model using Amazon Sagemaker
aws-samples/data-governance-w-temp-credentials-vending
Data governance through AWS LakeFormation credentials vending API
brian-kipkoech-tanui/sagemaker-ML-workflow
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.
ChaitanyaC22/Udacity-AWS-MLE-ND-Project2-Build-a-ML-Workflow-For-Scones-Unlimited-On-Amazon-SageMaker
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.
aws-samples/amazon-sagemaker-training-jobs-with-snowflake-and-snowpark
Amazon SageMaker training jobs using Snowpark Python API
aws-samples/amazon-sagemaker-workshop-for-huggingface
Workshop for running HuggingFace Models on Amazon SageMaker.
brian-kipkoech-tanui/timeseriesanalysisonSagemaker
Time Series Analysis on Sagemaker
komminarlabs/terraform-aws-sagemaker-studio
Terraform module to create and manage a SageMaker studio
ksmin23/semantic-vector-search-with-sagemaker-pgvector
A search application using Aurora Postgresql and pgvector for an online retail store product catalog
teticio/ec2-slackbot
Slack app to spin up / down EC2 instances and optionally mount SageMaker Studio EFS and EBS volumes.
jacobeturpin/sagemaker-studio-efs-migration
A Python-based library for automating the migration of EFS storage from one SageMaker Studio domain to another using AWS DataSync
john-hawkins/amazon-sagemaker-kernels
A small collection of custom kernels for running Sagemaker Notebooks an Training Jobs
GauravG-20/Udacity-AWS-MLE-ND-Project2-Build-a-ML-Workflow-For-Scones-Unlimited-On-Amazon-SageMaker
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.
PranavDarshan/ML-Workflow-Scones-Unlimited
ML Workflow for a company called Scones Unlimited. Image classification model that can automatically detect which kind of vehicle delivery drivers have, in order to route them to the correct loading bay and orders.
dhanushpittala11/HuggingFaceModelDeployment_AWS_Sagemaker
This project is about deploying HuggingFace model(distilbert-base-uncased-distilled-squad) on AWS sagemaker for the task of question Answering. The model is configured ,IAM role is created for permissions to create endpoint and the model is deployed to Sagemaker Inference.
GLGL0x00/skin_cancer_detection
A machine learning project that predicts skin cancer risk by analyzing lesion images and patient metadata. The system combines image and structured data processing to enhance diagnostic accuracy.