aws-solutions-library-samples/fraud-detection-using-machine-learning

Setup end to end demo architecture for predicting fraud events with Machine Learning using Amazon SageMaker

Language: Jupyter Notebook - Size: 304 KB - Last synced at: about 1 month ago - Pushed at: 11 months ago - Stars: 322 - Forks: 159

awslabs/aws-fleet-predictive-maintenance

Predictive Maintenance for Vehicle Fleets

Language: Jupyter Notebook - Size: 898 KB - Last synced at: 4 months ago - Pushed at: over 2 years ago - Stars: 69 - Forks: 32

tamtam-fitness/fastapi-sagemaker-endpoint-template

This is a template for deploying a FastAPI endpoint on AWS SageMaker.

Language: Python - Size: 75.2 KB - Last synced at: 7 days ago - Pushed at: about 2 years ago - Stars: 6 - Forks: 1

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.

Language: Jupyter Notebook - Size: 35 MB - Last synced at: 3 months ago - Pushed at: 6 months ago - Stars: 4 - Forks: 2

aws-samples/deep-visual-search-workshop

Workshop to create a visual search engine using Amazon SageMaker and Amazon OpenSearchService

Language: Jupyter Notebook - Size: 3.84 MB - Last synced at: 3 months ago - Pushed at: about 1 year ago - Stars: 4 - Forks: 1

aws-samples/sagemaker-deepar-workshop-es

Amazon SageMaker DeepAR Spanish Workshop

Language: Jupyter Notebook - Size: 238 KB - Last synced at: 3 months ago - Pushed at: over 3 years ago - Stars: 3 - Forks: 0

aws-samples/deep-visual-search-workshop-infra

Workshop CDK Template to provision infra for the Deep Visual Search workshop

Language: Python - Size: 191 MB - Last synced at: 3 months ago - Pushed at: 9 months ago - Stars: 4 - Forks: 0

Snowflake-Labs/sfguide-recommender-pipeline

Snowflake Guide: Building a Recommendation Engine Using Snowflake & Amazon SageMaker

Language: Python - Size: 3.31 MB - Last synced at: 3 months ago - Pushed at: over 4 years ago - Stars: 31 - Forks: 14

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.

Language: Jupyter Notebook - Size: 8.68 MB - Last synced at: 3 months ago - Pushed at: almost 3 years ago - Stars: 8 - Forks: 4

aws-samples/amazon-sagemaker-experiments-dvc-demo

SageMaker Experiments and DVC

Language: Jupyter Notebook - Size: 1.15 MB - Last synced at: 3 months ago - Pushed at: about 3 years ago - Stars: 15 - Forks: 2

giuseppeporcelli/end-to-end-ml-sm

End to end Machine Learning with Amazon SageMaker

Language: Jupyter Notebook - Size: 11.9 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 29 - Forks: 13

netsatsawat/introduction-to-mlops-on-amazon-sagemaker

This repository outlined how to implement MLOps practice on AWS Cloud using Amazon SageMaker.

Language: Jupyter Notebook - Size: 406 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

flrngel/simple-estimator-and-sagemaker

Simple guide to use tf.estimator and deploy to AWS SageMaker (after training with your GPU)

Language: Python - Size: 26.4 KB - Last synced at: over 1 year ago - Pushed at: almost 6 years ago - Stars: 5 - Forks: 0

aws-samples/amazon-sagemaker-object-detection-from-scratch

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 DeepLens.

Language: Jupyter Notebook - Size: 31.3 KB - Last synced at: 3 months ago - Pushed at: almost 6 years ago - Stars: 9 - Forks: 11

eitansela/sagemaker-mme-gpu-triton-java-client

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.

Language: Java - Size: 376 KB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

luisredda/harness-sagemaker-aws-mlops

A "Hello world" project on how implement your own ML Model in AWS Sagemaker.

Language: Python - Size: 11.7 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 1

whiletruelearn/amazon-sage-maker-fasttext

Fasttext container for Amazon Sage Maker

Language: Python - Size: 26.4 KB - Last synced at: over 2 years ago - Pushed at: about 7 years ago - Stars: 4 - Forks: 2

aws-samples/amazon-sagemaker-inference-using-tensorflow-hub-ready-model

Sample code to run Amazon SageMaker endpoint for inference with a ready model from Tensorflow Hub

Language: Jupyter Notebook - Size: 797 KB - Last synced at: 3 months ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0

Devalent/aws-realtime-predictions

An end-to-end example of a serverless machine learning pipeline for multiclass classification on AWS with SageMaker Pipelines, Data Wrangler, Athena and XGBoost.

Language: TypeScript - Size: 1.17 MB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

carlostomeh/Predict_Marketing_Campaign_Success

Goal: Develop Machine Learning aplication in a distributed environment using AWS services with Spark.

Language: Jupyter Notebook - Size: 469 KB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

danwild/sagemaker-sentiment-analysis

A PyTorch RNN model for Sentiment Analysis deployed with AWS SageMaker

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coreyjs/sentiment-analysis-sagemaker

Language: HTML - Size: 218 KB - Last synced at: 5 months ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

john-hawkins/amazon-sagemaker-kernels

A small collection of custom kernels for running Sagemaker Notebooks an Training Jobs

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Wildertrek/SageMaker

Jupyter notebooks to help team members utilize AWS SageMaker tools

Language: Jupyter Notebook - Size: 23.8 MB - Last synced at: over 2 years ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0

gilinachum/wikipedia-embedding Fork of dbatalov/wikipedia-embedding

Example of how to use word embedding with BlazingText algorithm in Amazon SageMaker on entire contents of wikipedia for a foreign language (Hebrew).

Language: Jupyter Notebook - Size: 192 KB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 0