aws / amazon-sagemaker-examplesLinks
Example π Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using π§ Amazon SageMaker.
β10,591Updated 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 SageMakerβ2,170Updated this week
- AI and Machine Learning with Kubeflow, Amazon EKS, and SageMakerβ3,395Updated 11 months ago
- AWS Deep Learning Containers are pre-built Docker images that make it easier to run popular deep learning frameworks and tools on AWS.β1,086Updated last week
- A curated list of references for MLOpsβ13,224Updated 7 months ago
- Train machine learning models within a π³ Docker container using π§ Amazon SageMaker.β515Updated last month
- Public repo for DeepLearning.AI MLEP Specializationβ1,910Updated 8 months ago
- Amazon SageMaker workshops: Introduction, TensorFlow in SageMaker, and moreβ389Updated 3 years ago
- DeepRacer workshop content. This Guidance demonstrates how software developers can use an Amazon SageMaker Notebook instance to directly β¦β1,253Updated 8 months ago
- β299Updated 2 weeks ago
- Notebooks and examples on how to onboard and use various features of Amazon Forecast.β527Updated 2 years ago
- A curated list of awesome MLOps toolsβ4,625Updated last week
- Production infrastructure for machine learning at scaleβ8,037Updated last year
- Machine Learning University: Accelerated Natural Language Processing Classβ2,411Updated 9 months ago
- Source code accompanying O'Reilly book: Machine Learning Design Patternsβ2,010Updated 4 years ago
- MLOps examplesβ1,994Updated 11 months ago
- π Papers & tech blogs by companies sharing their work on data science & machine learning in production.β28,116Updated last year
- A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learningβ18,749Updated last week
- pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDβ¦β4,041Updated this week
- Example notebooks for working with SageMaker Studio Lab. Sign up for an account at the link below!β726Updated 10 months ago
- A collection of machine learning examples and tutorials.β8,650Updated last week
- Notebooks and examples on how to onboard and use various features of Amazon Personalizeβ594Updated 4 months ago
- Serve machine learning models within a π³ Docker container using π§ Amazon SageMaker.β407Updated last year
- Toolkit for running TensorFlow training scripts on SageMaker. Dockerfiles used for building SageMaker TensorFlow Containers are at https:β¦β271Updated last month
- Machine Learning Ops Workshop with SageMaker: lab guides and materials.β330Updated 4 years ago
- A collection of sample scripts to customize Amazon SageMaker Notebook Instances using Lifecycle Configurationsβ429Updated last year
- Trax β Deep Learning with Clear Code and Speedβ8,228Updated 3 months ago
- Learn how to design, develop, deploy and iterate on production-grade ML applications.β3,156Updated 11 months ago
- System design patterns for machine learningβ2,681Updated 3 years ago
- A guideline for building practical production-level deep learning systems to be deployed in real world applications.β4,486Updated last month
- The open source version of the Amazon SageMaker docsβ251Updated 2 years ago