aws / sagemaker-python-sdkLinks
A library for training and deploying machine learning models on Amazon SageMaker
β2,169Updated this week
Alternatives and similar repositories for sagemaker-python-sdk
Users that are interested in sagemaker-python-sdk are comparing it to the libraries listed below
Sorting:
- 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 this week
- Example π Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using π§ Amazon SageMaker.β10,585Updated last week
- Train machine learning models within a π³ Docker container using π§ Amazon SageMaker.β515Updated last month
- Toolkit for running TensorFlow training scripts on SageMaker. Dockerfiles used for building SageMaker TensorFlow Containers are at https:β¦β271Updated last month
- The open source version of the Amazon SageMaker docsβ251Updated 2 years ago
- Serve machine learning models within a π³ Docker container using π§ Amazon SageMaker.β407Updated last year
- Amazon SageMaker workshops: Introduction, TensorFlow in SageMaker, and moreβ389Updated 3 years ago
- Machine Learning Ops Workshop with SageMaker: lab guides and materials.β330Updated 4 years ago
- Support code for building and running Amazon SageMaker compatible Docker containers based on the open source framework Scikit-learn (http β¦β180Updated 2 months ago
- A collection of sample scripts to customize Amazon SageMaker Notebook Instances using Lifecycle Configurationsβ429Updated last year
- A Spark library for Amazon SageMaker.β299Updated 4 months ago
- WARNING: This package has been deprecated. Please use the SageMaker Training Toolkit for model training and the SageMaker Inference Toolkβ¦β186Updated 5 years ago
- A TensorFlow Serving solution for use in SageMaker. This repo is now deprecated.β173Updated last year
- AI and Machine Learning with Kubeflow, Amazon EKS, and SageMakerβ3,396Updated 11 months ago
- Notebooks and examples on how to onboard and use various features of Amazon Forecast.β527Updated 2 years ago
- Toolkit for running PyTorch training scripts on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at https://githβ¦β203Updated last month
- Experiment tracking and metric logging for Amazon SageMaker notebooks and model training.β127Updated last year
- LLMs and Machine Learning done easilyβ439Updated 3 weeks ago
- Amazon SageMaker examples for prebuilt framework mode containers, a.k.a. Script Mode, and more (BYO containers and models etc.)β172Updated last year
- Multi Model Server is a tool for serving neural net models for inferenceβ1,013Updated last year
- β299Updated 2 weeks ago
- Code and associated files for the deploying ML models within AWS SageMakerβ474Updated last year
- Powering AWS purpose-built machine learning chips. Blazing fast and cost effective, natively integrated into PyTorch and TensorFlow and iβ¦β529Updated this week
- Notebooks and examples on how to onboard and use various features of Amazon Personalizeβ594Updated 4 months ago
- Amazon SageMaker Debugger provides functionality to save tensors during training of machine learning jobs and analyze those tensorsβ161Updated last year
- This is the Docker container based on open source framework XGBoost (https://xgboost.readthedocs.io/en/latest/) to allow customers use thβ¦β138Updated 3 weeks ago
- An MLOps framework to package, deploy, monitor and manage thousands of production machine learning modelsβ4,577Updated this week
- Workshop content for applying DevOps practices to Machine Learning workloads using Amazon SageMakerβ318Updated last year
- pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDβ¦β4,038Updated 2 weeks ago
- TFX is an end-to-end platform for deploying production ML pipelinesβ2,149Updated 3 weeks ago