hervenivon / aws-experiments-comprehend-custom-classifierLinks
How to train a custom NLP classifier with AWS Comprehend?
☆28Updated 5 years ago
Alternatives and similar repositories for aws-experiments-comprehend-custom-classifier
Users that are interested in aws-experiments-comprehend-custom-classifier are comparing it to the libraries listed below
Sorting:
- A collection of recommended practices to accelerate the building of secure data science environments in regulated environments.☆49Updated 2 years ago
- amazon-sagemaker-cdk-examples uses AWS CDK to simplify common architectures in machine leaning operations using Sagemaker and other AWS s…☆68Updated last year
- Safe blue/green deployment of Amazon SageMaker endpoints using AWS CodePipeline, CodeBuild and CodeDeploy.☆105Updated 3 years ago
- Build Train and Deploy your own custom container using AWS StepFunctions Data Science SDK☆23Updated 5 years ago
- Amazon SageMaker Solution for explaining credit decisions.☆98Updated 2 years ago
- Amazon SageMaker examples for prebuilt framework mode containers, a.k.a. Script Mode, and more (BYO containers and models etc.)☆170Updated 2 years ago
- Materials for a 2-day instructor led course on applying machine learning☆200Updated 4 years ago
- ☆26Updated 2 years ago
- As customers move from building data lakes and analytics on AWS to building machine learning solutions, one of their biggest challenges i…☆63Updated 7 years ago
- Amazon SageMaker MLOps deployment pipeline for A/B Testing of machine learning models.☆45Updated 4 years ago
- Learn Amazon SageMaker☆105Updated this week
- Machine Learning Ops Workshop with SageMaker: lab guides and materials.☆332Updated 4 years ago
- The Improving Forecast Accuracy with Machine Learning solution generates, tests, compares, and iterates on Amazon Forecast forecasts. The…☆43Updated last year
- The MLOps Workload Orchestrator solution helps you streamline and enforce architecture best practices for machine learning (ML) model pro…☆155Updated 6 months ago
- MLOps workshop with Amazon SageMaker☆112Updated 8 months ago
- Natural Language Processing on AWS Workshop☆53Updated 6 years ago
- ☆89Updated 3 years ago
- AI_ML_Workshops☆52Updated 5 years ago
- Creates a CloudFormation template that uses AWS StepFunctions to automate the building and training of Sagemaker custom models based on S…☆165Updated 5 years ago
- Workshop content for applying DevOps practices to Machine Learning workloads using Amazon SageMaker☆325Updated 2 years ago
- SageMaker custom deployments made easy☆63Updated 8 months ago
- Sample Jupyter Notebooks for Amazon Augmented AI (A2I)☆74Updated 2 years ago
- This repository contains guidance related to SageMaker AI Projects. SageMaker Projects help organizations set up and standardize develope…☆231Updated last month
- ☆137Updated last year
- Support code for building and running Amazon SageMaker compatible Docker containers based on the open source framework Scikit-learn (http…☆182Updated last month
- Unlocking Creativity: Generative AI with SageMaker Jumpstart☆34Updated 2 years ago
- A serverless framework for continuous machine learning pipeline automation☆14Updated 5 years ago
- ☆144Updated 2 years ago
- Step Functions Data Science SDK for building machine learning (ML) workflows and pipelines on AWS☆292Updated 8 months ago
- Sample code and datasets for Amazon Fraud Detector☆82Updated 2 years ago