aws / amazon-sagemaker-examplesLinks
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
☆10,682Updated 2 weeks ago
Alternatives and similar repositories for amazon-sagemaker-examples
Users that are interested in amazon-sagemaker-examples are comparing it to the libraries listed below
Sorting:
- A library for training and deploying machine learning models on Amazon SageMaker☆2,185Updated this week
- AI and Machine Learning with Kubeflow, Amazon EKS, and SageMaker☆3,401Updated last year
- AWS Deep Learning Containers are pre-built Docker images that make it easier to run popular deep learning frameworks and tools on AWS.☆1,094Updated this week
- Train machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.☆517Updated last week
- pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoD…☆4,042Updated 2 weeks ago
- Example notebooks for working with SageMaker Studio Lab. Sign up for an account at the link below!☆731Updated 11 months ago
- Public repo for DeepLearning.AI MLEP Specialization☆1,923Updated 9 months ago
- The Open Source Feature Store for AI/ML☆6,260Updated this week
- Amazon SageMaker workshops: Introduction, TensorFlow in SageMaker, and more☆389Updated 3 years ago
- Source code accompanying O'Reilly book: Machine Learning Design Patterns☆2,023Updated 4 years ago
- DeepRacer workshop content. This Guidance demonstrates how software developers can use an Amazon SageMaker Notebook instance to directly …☆1,254Updated 9 months ago
- ☆306Updated last month
- A collection of sample scripts to customize Amazon SageMaker Notebook Instances using Lifecycle Configurations☆430Updated last year
- A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems", which is `dm…☆9,520Updated 2 years ago
- Fit interpretable models. Explain blackbox machine learning.☆6,642Updated this week
- Notebooks and examples on how to onboard and use various features of Amazon Personalize☆595Updated 5 months ago
- Notebooks and examples on how to onboard and use various features of Amazon Forecast.☆527Updated 2 years ago
- Low-code framework for building custom LLMs, neural networks, and other AI models☆11,562Updated this week
- Build, Manage and Deploy AI/ML Systems☆9,392Updated this week
- Code and associated files for the deploying ML models within AWS SageMaker☆477Updated last year
- Machine Learning Ops Workshop with SageMaker: lab guides and materials.☆329Updated 4 years ago
- The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!☆7,978Updated this week
- Tutorial materials for SageMaker 101☆29Updated 6 years ago
- Case studies, examples, and exercises for learning to deploy ML models using AWS SageMaker.☆363Updated 3 years ago
- MLOps examples☆2,008Updated last year
- Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017☆1,390Updated 4 months ago
- Workshop content for applying DevOps practices to Machine Learning workloads using Amazon SageMaker☆320Updated 2 years ago
- Production infrastructure for machine learning at scale☆8,034Updated last year
- Serve machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.☆407Updated last year
- An open source python library for automated feature engineering☆7,517Updated last week