aws-samples / amazon-sagemaker-keras-text-classificationLinks
A step-by-step guide that shows how to do text classification by run training/inference for a custom model in Amazon SageMaker
☆109Updated 5 years ago
Alternatives and similar repositories for amazon-sagemaker-keras-text-classification
Users that are interested in amazon-sagemaker-keras-text-classification are comparing it to the libraries listed below
Sorting:
- Materials for a 2-day instructor led course on applying machine learning☆200Updated 4 years ago
- Amazon SageMaker workshops: Introduction, TensorFlow in SageMaker, and more☆389Updated 3 years ago
- Amazon SageMaker examples for prebuilt framework mode containers, a.k.a. Script Mode, and more (BYO containers and models etc.)☆171Updated last year
- Machine Learning Ops Workshop with SageMaker: lab guides and materials.☆329Updated 4 years ago
- WARNING: This package has been deprecated. Please use the SageMaker Training Toolkit for model training and the SageMaker Inference Toolk…☆186Updated 5 years ago
- The open source version of the Amazon SageMaker docs☆251Updated 2 years ago
- A Spark library for Amazon SageMaker.☆300Updated 4 months ago
- Amazon SageMaker Solution for explaining credit decisions.☆97Updated 2 years ago
- This repository shows a sample example to build, manage and orchestrate Machine Learning workflows using Amazon Sagemaker and Apache Airf…☆138Updated 3 years ago
- Build, train & debug, and deploy & monitor with Amazon SageMaker☆120Updated 2 years ago
- Learn Amazon SageMaker☆106Updated 2 years ago
- Toolkit for running TensorFlow training scripts on SageMaker. Dockerfiles used for building SageMaker TensorFlow Containers are at https:…☆271Updated 2 months 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
- This workshop demonstrates two methods of machine learning inference for global production using AWS Lambda and Amazon SageMaker☆58Updated 4 years ago
- Build Train and Deploy your own custom container using AWS StepFunctions Data Science SDK☆23Updated 4 years ago
- A serverless framework for continuous machine learning pipeline automation☆14Updated 4 years ago
- Safe blue/green deployment of Amazon SageMaker endpoints using AWS CodePipeline, CodeBuild and CodeDeploy.☆106Updated 2 years ago
- Example custom model image trainable and distributable via AWS SageMaker☆35Updated 2 years ago
- Support code for building and running Amazon SageMaker compatible Docker containers based on the open source framework Scikit-learn (http…☆181Updated 3 months ago
- Step Functions Data Science SDK for building machine learning (ML) workflows and pipelines on AWS☆292Updated 3 months ago
- LLMs and Machine Learning done easily☆439Updated last week
- Docker images that replicate the Amazon SageMaker Notebook instance.☆58Updated 3 years ago
- Natural Language Processing on AWS Workshop☆53Updated 6 years ago
- Open innovation with 60 minute cloud experiments on AWS☆88Updated last year
- ☆152Updated 2 years ago
- The MLOps Workload Orchestrator solution helps you streamline and enforce architecture best practices for machine learning (ML) model pro…☆154Updated last month
- Sagemaker pipeline for AWS Summit New York☆58Updated 5 years ago
- A collection of recommended practices to accelerate the building of secure data science environments in regulated environments.☆49Updated 2 years ago
- This is the Docker container based on open source framework XGBoost (https://xgboost.readthedocs.io/en/latest/) to allow customers use th…☆139Updated last month
- Sample Jupyter Notebooks for Amazon Augmented AI (A2I)☆73Updated last year