Setup end to end demo architecture for predicting fraud events with Machine Learning using Amazon SageMaker
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Oct 2, 2024 - Jupyter Notebook
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Setup end to end demo architecture for predicting fraud events with Machine Learning using Amazon SageMaker
This repository contains guidance related to SageMaker AI Projects. SageMaker Projects help organizations set up and standardize developer environments for data scientists and CI/CD systems for MLOps engineers.
Predictive Maintenance for Vehicle Fleets
deep-learning predictive maintenance vehicles automobile predictive-maintenance sagemaker aws-sagemaker sagemaker-example fleets
End to end Machine Learning with Amazon SageMaker
machine-learning feature-engineering amazon-sagemaker sagemaker-deployment sagemaker-example sagemaker-processing
Snowflake Guide: Building a Recommendation Engine Using Snowflake & Amazon SageMaker
SageMaker Experiments and DVC
docker data-version-control catboost dvc sagemaker dvc-for-data-science catboost-model sagemaker-example sagemaker-processing sagemaker-studio sagemaker-training
Build a Custom Object Detection Model from Scratch with Amazon SageMaker and Deploy it at the Edge with AWS DeepLens. This workshop explains how you can leverage DeepLens to capture data at the edge and build a training data set with Amazon SageMaker Ground Truth. Then, train an object detection model with Amazon SageMaker and deploy it to AWS D…
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.
This is a template for deploying a FastAPI endpoint on AWS SageMaker.
Workshop CDK Template to provision infra for the Deep Visual Search workshop
search search-engine cnn visual-search knn cnn-model opensearch cdk xception-model sagemaker xception sagemaker-example
A workshop for collections of multi-modal LLM examples, samples, reference architecture and demos on Amazon SageMaker.
Workshop to create a visual search engine using Amazon SageMaker and Amazon OpenSearchService
search search-engine visual-search knn cnn-model opensearch xception-model sagemaker sagemaker-example opensearch-examples
Simple guide to use tf.estimator and deploy to AWS SageMaker (after training with your GPU)
Fasttext container for Amazon Sage Maker
Amazon SageMaker DeepAR Spanish Workshop
An end-to-end example of a serverless machine learning pipeline for multiclass classification on AWS with SageMaker Pipelines, Data Wrangler, Athena and XGBoost.
python aws data-science machine-learning typescript aws-lambda serverless pandas pyspark xgboost aws-dynamodb aws-athena multiclass-classification aws-glue aws-cdk aws-sagemaker realtime-prediction sagemaker-example sagemaker-pipelines aws-data-wrangler
Machine Learning on AWS using various methods/examples
emr lambda machine-learning athena model cloudwatch xgboost lag tableau linear-models tableau-server xgboost-model sagemaker sagemaker-deployment sagemaker-example
The repository contains projects and tutorials completed as a part of Udacity Machine Learning Engineer Nanodegree
Run Multiple Models on the Same GPU with Amazon SageMaker Multi-Model Endpoints Powered by NVIDIA Triton Inference Server. A Java client is also provided.
A "Hello world" project on how implement your own ML Model in AWS Sagemaker.
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