aws / amazon-sagemaker-examples
Example π Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using π§ Amazon SageMaker.
β10,143Updated this week
Related projects β
Alternatives and complementary repositories for amazon-sagemaker-examples
- A library for training and deploying machine learning models on Amazon SageMakerβ2,104Updated this week
- AI and Machine Learning with Kubeflow, Amazon EKS, and SageMakerβ3,355Updated 3 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.β1,011Updated this week
- A system for quickly generating training data with weak supervisionβ5,812Updated 6 months ago
- β278Updated 2 weeks ago
- pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDβ¦β3,934Updated this week
- Data science interview questions and answersβ8,959Updated 2 months ago
- cuDF - GPU DataFrame Libraryβ8,451Updated this week
- The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.β11,517Updated last month
- A guideline for building practical production-level deep learning systems to be deployed in real world applications.β4,355Updated last year
- Train machine learning models within a π³ Docker container using π§ Amazon SageMaker.β496Updated 2 months ago
- The open source version of the Amazon SageMaker docsβ250Updated last year
- Code and associated files for the deploying ML models within AWS SageMakerβ467Updated 11 months ago
- A collection of sample scripts to customize Amazon SageMaker Notebook Instances using Lifecycle Configurationsβ422Updated 7 months ago
- Open Source Platform for developing, scaling and deploying serious ML, AI, and data science systemsβ8,256Updated this week
- Source code accompanying O'Reilly book: Machine Learning Design Patternsβ1,897Updated 3 years ago
- Machine Learning Pipelines for Kubeflowβ3,616Updated this week
- The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.β9,766Updated 3 weeks ago
- Best Practices on Recommendation Systemsβ19,300Updated this week
- Example notebooks for working with SageMaker Studio Lab. Sign up for an account at the link below!β648Updated 2 months ago
- Machine Learning Ops Workshop with SageMaker: lab guides and materials.β325Updated 3 years ago
- Production infrastructure for machine learning at scaleβ8,021Updated 5 months ago
- Amazon SageMaker workshops: Introduction, TensorFlow in SageMaker, and moreβ384Updated 3 years ago
- An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model cβ¦β14,056Updated 4 months ago
- Answers to 120 commonly asked data science interview questions.β3,724Updated 10 months ago
- TFX is an end-to-end platform for deploying production ML pipelinesβ2,114Updated this week
- A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"β9,162Updated last year
- A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learningβ17,604Updated this week
- The 3rd edition of course.fast.aiβ4,899Updated 5 months ago
- Modin: Scale your Pandas workflows by changing a single line of codeβ9,898Updated last month