aws / sagemaker-experimentsLinks
Experiment tracking and metric logging for Amazon SageMaker notebooks and model training.
☆127Updated last year
Alternatives and similar repositories for sagemaker-experiments
Users that are interested in sagemaker-experiments are comparing it to the libraries listed below
Sorting:
- This is the Docker container based on open source framework XGBoost (https://xgboost.readthedocs.io/en/latest/) to allow customers use th…☆139Updated last week
- Support code for building and running Amazon SageMaker compatible Docker containers based on the open source framework Scikit-learn (http…☆180Updated last month
- WARNING: This package has been deprecated. Please use the SageMaker Training Toolkit for model training and the SageMaker Inference Toolk…☆186Updated 5 years ago
- Safe blue/green deployment of Amazon SageMaker endpoints using AWS CodePipeline, CodeBuild and CodeDeploy.☆106Updated 2 years ago
- Amazon SageMaker examples for prebuilt framework mode containers, a.k.a. Script Mode, and more (BYO containers and models etc.)☆172Updated last year
- ☆145Updated 2 years ago
- Toolkit for running PyTorch training scripts on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at https://gith…☆203Updated 2 weeks ago
- Serve machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.☆406Updated last year
- Step Functions Data Science SDK for building machine learning (ML) workflows and pipelines on AWS☆291Updated 2 months ago
- Tools to run Jupyter notebooks as jobs in Amazon SageMaker - ad hoc, on a schedule, or in response to events☆143Updated last year
- CLI for building Docker images in SageMaker Studio using AWS CodeBuild.☆56Updated 3 years ago
- SageMaker specific extensions to TensorFlow.☆54Updated 10 months ago
- Toolkit for allowing inference and serving with PyTorch on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at h…☆141Updated 8 months ago
- Managing your machine learning lifecycle with MLflow and Amazon SageMaker☆150Updated 3 months ago
- A TensorFlow Serving solution for use in SageMaker. This repo is now deprecated.☆173Updated last year
- This repository contains examples of Docker images that can be used as custom images for KernelGateway Apps in SageMaker Studio☆132Updated 2 years ago
- The open source version of the Amazon SageMaker docs☆251Updated 2 years ago
- A library of additional estimators and SageMaker tools based on scikit-learn☆40Updated last year
- Workshop content for applying DevOps practices to Machine Learning workloads using Amazon SageMaker☆318Updated last year
- ☆85Updated last year
- Toolkit for running TensorFlow training scripts on SageMaker. Dockerfiles used for building SageMaker TensorFlow Containers are at https:…☆271Updated 2 weeks ago
- ☆134Updated last year
- The MLOps Workload Orchestrator solution helps you streamline and enforce architecture best practices for machine learning (ML) model pro…☆154Updated last week
- A collection of sample scripts to customize Amazon SageMaker Notebook Instances using Lifecycle Configurations☆429Updated last year
- ☆227Updated 10 months ago
- Example templates for the delivery of custom ML solutions to production so you can get started quickly without having to make too many de…☆73Updated last year
- This repo provides an end-to-end example of using streaming feature aggregation with the Amazon SageMaker Feature Store.☆46Updated 3 years ago
- Build Train and Deploy your own custom container using AWS StepFunctions Data Science SDK☆23Updated 4 years ago
- MLOps workshop with Amazon SageMaker☆104Updated 2 months ago
- The SageMaker Spark Container is a Docker image used to run data processing workloads with the Spark framework on Amazon SageMaker.☆38Updated this week