aws / amazon-sagemaker-clarifyLinks
Fairness Aware Machine Learning. Bias detection and mitigation for datasets and models.
☆74Updated 10 months ago
Alternatives and similar repositories for amazon-sagemaker-clarify
Users that are interested in amazon-sagemaker-clarify 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…☆144Updated this week
- Amazon SageMaker Local Mode Examples☆263Updated 9 months ago
- ☆144Updated 3 years ago
- CLI for building Docker images in SageMaker Studio using AWS CodeBuild.☆58Updated 3 years ago
- Support code for building and running Amazon SageMaker compatible Docker containers based on the open source framework Scikit-learn (http…☆182Updated last week
- Experiment tracking and metric logging for Amazon SageMaker notebooks and model training.☆127Updated 2 years ago
- ☆138Updated this week
- Amazon SageMaker examples for prebuilt framework mode containers, a.k.a. Script Mode, and more (BYO containers and models etc.)☆170Updated 2 years ago
- WARNING: This package has been deprecated. Please use the SageMaker Training Toolkit for model training and the SageMaker Inference Toolk…☆188Updated 5 years ago
- Amazon SageMaker MLOps deployment pipeline for A/B Testing of machine learning models.☆45Updated 4 years ago
- Safe blue/green deployment of Amazon SageMaker endpoints using AWS CodePipeline, CodeBuild and CodeDeploy.☆105Updated 3 years ago
- The open source version of the Amazon SageMaker docs☆253Updated 2 years ago
- MLOps End-to-End Example using Amazon SageMaker Pipeline, AWS CodePipeline and AWS CDK☆154Updated this week
- Tools to run Jupyter notebooks as jobs in Amazon SageMaker - ad hoc, on a schedule, or in response to events☆144Updated 2 years ago
- Sample code and datasets for Amazon Fraud Detector☆82Updated 2 years ago
- A collection of recommended practices to accelerate the building of secure data science environments in regulated environments.☆49Updated 2 years ago
- ☆96Updated 4 years ago
- ☆88Updated 3 years ago
- Managing your machine learning lifecycle with MLflow and Amazon SageMaker☆154Updated 3 weeks ago
- Over 60 example task UIs for Amazon Augmented AI (A2I)☆98Updated 5 years ago
- This repository contains examples of Docker images that can be used as custom images for KernelGateway Apps in SageMaker Studio☆135Updated 2 years ago
- Serve scikit-learn, XGBoost, TensorFlow, and PyTorch models with AWS Lambda container images support.☆100Updated last year
- The MLOps Workload Orchestrator solution helps you streamline and enforce architecture best practices for machine learning (ML) model pro…☆155Updated 7 months ago
- MLOps workshop with Amazon SageMaker☆112Updated 10 months ago
- A Spark library for Amazon SageMaker.☆301Updated 11 months ago
- This sample demonstrates how to setup an Amazon SageMaker MLOps end-to-end pipeline for Drift detection☆64Updated 2 years ago
- Sample Jupyter Notebooks for Amazon Augmented AI (A2I)☆74Updated 2 years ago
- Amazon SageMaker Solution for explaining credit decisions.☆98Updated 2 years ago
- Machine Learning Ops Workshop with SageMaker: lab guides and materials.☆332Updated 4 years ago
- ☆33Updated last year