aws-samples / detecting-data-drift-in-nlp-using-amazon-sagemaker-custom-model-monitor
☆11Updated last year
Alternatives and similar repositories for detecting-data-drift-in-nlp-using-amazon-sagemaker-custom-model-monitor:
Users that are interested in detecting-data-drift-in-nlp-using-amazon-sagemaker-custom-model-monitor are comparing it to the libraries listed below
- ☆13Updated last year
- ☆33Updated last year
- Safe blue/green deployment of Amazon SageMaker endpoints using AWS CodePipeline, CodeBuild and CodeDeploy.☆104Updated 2 years ago
- ☆88Updated 2 years ago
- Amazon SageMaker MLOps deployment pipeline for A/B Testing of machine learning models.☆44Updated 3 years ago
- Some crazy experiments☆33Updated last month
- This solution demonstrates the setup and deployment of Amazon SageMaker Studio into a private VPC and implementation of multi-layer secur…☆18Updated 2 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☆97Updated 6 months ago
- Toolkit for allowing inference and serving with MXNet in SageMaker. Dockerfiles used for building SageMaker MXNet Containers are at https…☆28Updated last year
- Secure data science with Amazon SageMaker Studio workshop. This workshop creates a reference architecture with security and controls to p…☆35Updated 8 months ago
- ☆30Updated 3 months ago
- This code repository contains code assets of "Generative AI Large Language Model Workshop for Financial Services" workshop☆19Updated last year
- A collection of recommended practices to accelerate the building of secure data science environments in regulated environments.☆49Updated 2 years ago
- This repository provides AI/ML service(MachineLearning model serving) modernization solution using Amazon SageMaker, AWS CDK, and AWS Ser…☆46Updated 7 months ago
- This is the Docker container based on open source framework XGBoost (https://xgboost.readthedocs.io/en/latest/) to allow customers use th…☆133Updated 2 weeks ago
- SageMaker custom deployments made easy☆60Updated last week
- Experiment tracking and metric logging for Amazon SageMaker notebooks and model training.☆127Updated last year
- Workshop content for applying DevOps practices to Machine Learning workloads using Amazon SageMaker☆310Updated last year
- Kubeflow workshop on EKS. Mainly focus on AWS integration examples. Please go check kubeflow website http://kubeflow.org for other exampl…☆98Updated 4 years ago
- ☆133Updated 10 months ago
- ☆38Updated last week
- Secure and scalable MLOps platform on AWS using Terraform.☆40Updated last month
- ☆25Updated last year
- WARNING: This package has been deprecated. Please use the SageMaker Training Toolkit for model training and the SageMaker Inference Toolk…☆186Updated 4 years ago
- amazon-sagemaker-cdk-examples uses AWS CDK to simplify common architectures in machine leaning operations using Sagemaker and other AWS s…☆68Updated 11 months ago
- Deploy a functional, end-to-end example of training a machine learning model from IoT data☆13Updated 4 years ago
- CLI for building Docker images in SageMaker Studio using AWS CodeBuild.☆55Updated 2 years ago
- Sample Jupyter Notebooks for Amazon Augmented AI (A2I)☆71Updated last year
- ☆15Updated 7 months ago