awslabs / sagemaker-dashboards-for-mlLinks
☆96Updated 3 years ago
Alternatives and similar repositories for sagemaker-dashboards-for-ml
Users that are interested in sagemaker-dashboards-for-ml are comparing it to the libraries listed below
Sorting:
- This sample demonstrates how to setup an Amazon SageMaker MLOps end-to-end pipeline for Drift detection☆60Updated last year
- ☆134Updated last year
- This is the Docker container based on open source framework XGBoost (https://xgboost.readthedocs.io/en/latest/) to allow customers use th…☆137Updated 2 months ago
- MLOps workshop with Amazon SageMaker☆100Updated 2 months ago
- Amazon SageMaker Solution for explaining credit decisions.☆97Updated 2 years ago
- Amazon SageMaker MLOps deployment pipeline for A/B Testing of machine learning models.☆44Updated 3 years ago
- Safe blue/green deployment of Amazon SageMaker endpoints using AWS CodePipeline, CodeBuild and CodeDeploy.☆106Updated 2 years 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 11 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
- ☆145Updated 2 years ago
- CLI for building Docker images in SageMaker Studio using AWS CodeBuild.☆56Updated 3 years ago
- Support code for building and running Amazon SageMaker compatible Docker containers based on the open source framework Scikit-learn (http…☆180Updated last month
- This repo provides an end-to-end example of using streaming feature aggregation with the Amazon SageMaker Feature Store.☆46Updated 3 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
- Sample Jupyter Notebooks for Amazon Augmented AI (A2I)☆72Updated last year
- ☆224Updated 9 months ago
- SageMaker custom deployments made easy☆62Updated 2 months ago
- Amazon SageMaker Local Mode Examples☆257Updated last month
- This repo will teach you how to deploy an ML-powered web app to AWS Fargate from start to finish using Streamlit and AWS CDK☆108Updated 4 years ago
- Hosting code-server on Amazon SageMaker☆54Updated last year
- Serve scikit-learn, XGBoost, TensorFlow, and PyTorch models with AWS Lambda container images support.☆100Updated 10 months ago
- ☆25Updated last year
- ☆84Updated last year
- Streamlit EDA Dashboard Powered by AWS Cloud☆82Updated last week
- Fairness Aware Machine Learning. Bias detection and mitigation for datasets and models.☆70Updated 2 months ago
- Experiment tracking and metric logging for Amazon SageMaker notebooks and model training.☆127Updated 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
- Build Train and Deploy your own custom container using AWS StepFunctions Data Science SDK☆23Updated 4 years ago
- MLOps End-to-End Example using Amazon SageMaker Pipeline, AWS CodePipeline and AWS CDK☆143Updated last month
- A collection of recommended practices to accelerate the building of secure data science environments in regulated environments.☆49Updated 2 years ago