SageMaker ML Platforms ML Frameworks
AWS SageMaker training, deployment, and orchestration tools for end-to-end machine learning workflows. Does NOT include general cloud ML platforms (GCP Vertex AI, Azure ML), infrastructure-as-code for other services, or non-SageMaker AWS tools.
There are 63 sagemaker ml platforms frameworks tracked. 7 score above 50 (established tier). The highest-rated is aws/sagemaker-python-sdk at 67/100 with 2,232 stars. 2 of the top 10 are actively maintained.
Get all 63 projects as JSON
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| # | Framework | Score | Tier |
|---|---|---|---|
| 1 |
aws/sagemaker-python-sdk
A library for training and deploying machine learning models on Amazon SageMaker |
|
Established |
| 2 |
aws/amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy... |
|
Established |
| 3 |
aws-samples/sagemaker-ssh-helper
A helper library to connect into Amazon SageMaker with AWS Systems Manager... |
|
Established |
| 4 |
aws-samples/aws-ml-enablement-workshop
組織横断的にチームを組成し、機械学習による成長サイクルを実現する計画を立てるワークショップ |
|
Established |
| 5 |
aws/sagemaker-xgboost-container
This is the Docker container based on open source framework XGBoost... |
|
Established |
| 6 |
aws-deepracer-community/deepracer-on-the-spot
Repo for running DeepRacer on Spot or Standard instances to save money... |
|
Established |
| 7 |
aws/sagemaker-training-toolkit
Train machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker. |
|
Established |
| 8 |
spotty-cloud/spotty
Training deep learning models on AWS and GCP instances |
|
Emerging |
| 9 |
aws-samples/sagemaker-distributed-training-workshop
Hands-on workshop for distributed training and hosting on SageMaker |
|
Emerging |
| 10 |
aws-samples/amazon-sagemaker-edge-defect-detection-computer-vision
Workshop showcasing how to run defect detection using computer vision at the... |
|
Emerging |
| 11 |
aws/sagemaker-spark
A Spark library for Amazon SageMaker. |
|
Emerging |
| 12 |
aws/studio-lab-examples
Example notebooks for working with SageMaker Studio Lab. Sign up for an... |
|
Emerging |
| 13 |
aws/sagemaker-inference-toolkit
Serve machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker. |
|
Emerging |
| 14 |
aws-samples/aws-ml-jp
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 |
|
Emerging |
| 15 |
vithursant/terraform-aws-spotgpu
Fully automated provisioning of AWS EC2 Spot Instances for Deep Learning... |
|
Emerging |
| 16 |
aws-samples/cloud-experiments
Open innovation with 60 minute cloud experiments on AWS |
|
Emerging |
| 17 |
terraform-ibm-modules/terraform-ibm-watsonx-ai
Terraform module to create and configure watsonx.ai Project |
|
Emerging |
| 18 |
carpentries-incubator/ML_with_AWS_SageMaker
Learn how to scale up ML/AI pipelines using AWS SageMaker (GPUs, Cloud computing) |
|
Emerging |
| 19 |
aws-samples/aws-lambda-docker-serverless-inference
Serve scikit-learn, XGBoost, TensorFlow, and PyTorch models with AWS Lambda... |
|
Emerging |
| 20 |
aws-samples/sagemaker-end-to-end-workshop
Hands-on end-to-end workshop to explore Amazon SageMaker. |
|
Emerging |
| 21 |
aws-samples/zero-administration-inference-with-aws-lambda-for-hugging-face
Zero administration inference with AWS Lambda for 🤗 |
|
Emerging |
| 22 |
aws-samples/amazon-sagemaker-pytorch-detectron2
This repository shows how to train an object detection algorithm with... |
|
Emerging |
| 23 |
aws-samples/aws-cdk-deep-learning-image-vector-embeddings-at-scale-using-aws-batch
AWS Blog post code for running feature-extraction on images using AWS Batch... |
|
Emerging |
| 24 |
aws-samples/hugging-face-workshop
A 90-minute hands on workshop about Hugging Face on SageMaker. |
|
Emerging |
| 25 |
oriolrius/sagemaker-unified-studio-demo
Educational ML project demonstrating machine overheat prediction using AWS... |
|
Emerging |
| 26 |
xbwei/data-analysis-aws
Introducing basic usage of AWS |
|
Emerging |
| 27 |
stelsemeyer/aws-lambda-model-tf
A serverless, containerized machine learning model API using AWS Lambda &... |
|
Emerging |
| 28 |
xtreamsrl/amld22-mlops-on-aws
Resources for the AMLD 2022 workshop "DevOps on AWS" |
|
Experimental |
| 29 |
aws-samples/amazon-sagemaker-pipelines-mxnet-image-classification
Build an MXNet image classification model via SageMaker Pipelines |
|
Experimental |
| 30 |
HsiehShuJeng/cdk-comprehend-s3olap
This construct creates the foundation for developers to explore the... |
|
Experimental |
| 31 |
localstack-samples/sample-mnist-digit-recognition-sagemaker
Demo to run the MNIST handwritten digit model on a locally running SageMaker endpoint |
|
Experimental |
| 32 |
machinelearnear/open-hf-spaces-in-studiolab
template for duplicating and executing Hugging Face Spaces either on SM... |
|
Experimental |
| 33 |
murattkiran/food-classification
Serverless Deep Learning using TensorFlow-Lite and AWS Lambda |
|
Experimental |
| 34 |
aws-samples/prediction-app-with-amazon-redshift-ml-and-api-gateway
A sample on how to create a machine learning prediction API based on data in... |
|
Experimental |
| 35 |
aws-sagemaker-jp/awesome-studio-lab-jp
SageMaker Studio Labの教材を紹介するリポジトリ。 |
|
Experimental |
| 36 |
strickvl/terraform-provider-huggingface-spaces
A Terraform/OpenTofu provider for deploying Hugging Face Spaces |
|
Experimental |
| 37 |
redhat-na-ssa/demo-rosa-sagemaker
How to use ROSA with AWS sagemaker |
|
Experimental |
| 38 |
levinoska/inventory-bin-count-classifier-aws-sagemaker
📦 Classify bin items using computer vision on AWS SageMaker, featuring... |
|
Experimental |
| 39 |
shelpuk/AWS_simulator_for_reinforcement_learning
AWS virtual infrastructure simulator for training reinforcement learning... |
|
Experimental |
| 40 |
kogunlowo123/terraform-azure-ai-studio
Terraform module for Azure AI Studio with hub workspaces, projects, model... |
|
Experimental |
| 41 |
islamelkadi/terraform-aws-bedrock
Production-ready Terraform module for AWS Bedrock with multi-framework... |
|
Experimental |
| 42 |
AngelDHackerman/AWS_Community_Builder_Modular_Lab
Cloud, Data Engineering and Machine Learning scenarios on AWS built with... |
|
Experimental |
| 43 |
scttfrdmn/aws-marimo-sagemaker
Run marimo reactive Python notebooks on AWS SageMaker Studio and Studio Lab... |
|
Experimental |
| 44 |
kogunlowo123/terraform-aws-sagemaker-mlops
Terraform module for AWS SageMaker MLOps with model registry, pipelines,... |
|
Experimental |
| 45 |
kogunlowo123/terraform-aws-sagemaker-studio
AWS SageMaker Studio Terraform module with VPC-only mode, user profiles, and... |
|
Experimental |
| 46 |
kogunlowo123/terraform-gcp-vertex-ai-platform
GCP Vertex AI Terraform module with Feature Store, Endpoints, Workbench, and... |
|
Experimental |
| 47 |
dabit3/amplify-ml-ai-predictions-example
This is a general overview of the Predictions category of Amplify. It shows... |
|
Experimental |
| 48 |
yousafkhamza/terraform-sagemaker-notebook
It's just a terraform code for build a sagemaker notebook instance... |
|
Experimental |
| 49 |
scttfrdmn/aws-marimo
Run marimo reactive Python notebooks on AWS SageMaker Studio and Studio Lab |
|
Experimental |
| 50 |
kevilkhadka/Amazon-SageMaker
AWS is a powerful tool for learning and implementing machine learning algorithms. |
|
Experimental |
| 51 |
victor369basu/SagemakerHuggingfaceDashboard
This is a solution that demonstrates how to train and deploy a pre-trained... |
|
Experimental |
| 52 |
Erics38/creator-rate-guide
ML-powered influencer rate calculator built for a brand partnerships lead.... |
|
Experimental |
| 53 |
Tekraj15/Object-Detection-with-Amazon-Sagemaker
Object Detection using Amazon Sagemaker from AWS |
|
Experimental |
| 54 |
nerdimite/bert-deployment-aws
Code for the FullStack AI Live Coding Series- Part 3 (CellStrat AI Lab) |
|
Experimental |
| 55 |
stojce/model-farm-orchestrator
A comprehensive MLOps platform that automates the deployment, monitoring,... |
|
Experimental |
| 56 |
ashish-code/awscloud-ai-sandbox
Sandbox for end-to-end ML system experiments on AWS: SageMaker, Lambda, App... |
|
Experimental |
| 57 |
mathewsrc/Operationalizing-an-AWS-ML-Project
This project SageMaker features to adjust, improve, configure, and prepare... |
|
Experimental |
| 58 |
251911748995/AWS-1ST-PROJECT
☁️ Build a scalable and secure cloud infrastructure on AWS with features... |
|
Experimental |
| 59 |
Devalent/aws-realtime-predictions
An end-to-end example of a serverless machine learning pipeline for... |
|
Experimental |
| 60 |
masroor-sma/Deploy-and-monitor-a-ML-Workflow-for-Image-Classification.
End-to-end ML workflow using AWS SageMaker, Lambda, and Step Functions for... |
|
Experimental |
| 61 |
Develop-Packt/Introduction-to-Data-Storage-on-Cloud-Services-AWS
Here you will cover the pros and cons of various cloud data storage... |
|
Experimental |
| 62 |
dubeyayushi/ML-Workflow-for-Scones-Unlimited
An end-to-end machine learning workflow implementation for Scones Unlimited... |
|
Experimental |
| 63 |
MusW02/Serverless-Mnist-AI
☁️ A serverless deep learning API for handwritten digit recognition.... |
|
Experimental |