aws-samples / aws-sagemaker-ground-truth-recipe
A recipe of SageMaker Ground Truth Lambdas to be used for creating labeling jobs with custom task type
☆25Updated 2 years ago
Alternatives and similar repositories for aws-sagemaker-ground-truth-recipe:
Users that are interested in aws-sagemaker-ground-truth-recipe are comparing it to the libraries listed below
- SageMaker Groundtruth custom workflow☆32Updated 5 years ago
- Toolkit for running PyTorch training scripts on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at https://gith…☆201Updated last week
- SageMaker custom deployments made easy☆58Updated last week
- Sample Jupyter Notebooks for Amazon Augmented AI (A2I)☆71Updated last year
- ☆57Updated 2 years ago
- Example task UIs for Amazon SageMaker Ground Truth☆111Updated 2 months ago
- Serve scikit-learn, XGBoost, TensorFlow, and PyTorch models with AWS Lambda container images support.☆97Updated 6 months ago
- WARNING: This package has been deprecated. Please use the SageMaker Training Toolkit for model training and the SageMaker Inference Toolk…☆186Updated 4 years ago
- Reference implementation on labeling video frames using Amazon Rekognition. The repo also contains some OpenCV based video utilities for …☆39Updated 5 years ago
- SageMaker specific extensions to TensorFlow.☆54Updated 6 months ago
- Visual search implementation resources, including an explanatory Jupyter notebook and Amazon SageMaker and AWS DeepLens code.☆63Updated 3 years ago
- This sample show you how to train BERT on Amazon Sagemaker using Spot instances☆31Updated last year
- Over 60 example task UIs for Amazon Augmented AI (A2I)☆98Updated 4 years ago
- CLI for building Docker images in SageMaker Studio using AWS CodeBuild.☆56Updated 2 years ago
- Open innovation with 60 minute cloud experiments on AWS☆87Updated 9 months ago
- ☆145Updated 2 years ago
- ☆64Updated last year
- A TensorFlow Serving solution for use in SageMaker. This repo is now deprecated.☆172Updated last year
- Build Train and Deploy your own custom container using AWS StepFunctions Data Science SDK☆23Updated 4 years ago
- Train and deploy models using TensorFlow 2 with the Object Detection API on Amazon SageMaker☆46Updated last year
- This workshop demonstrates two methods of machine learning inference for global production using AWS Lambda and Amazon SageMaker☆57Updated 4 years ago
- This sample demonstrates how to setup an Amazon SageMaker MLOps end-to-end pipeline for Drift detection☆58Updated last year
- Toolkit for allowing inference and serving with PyTorch on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at h…☆136Updated 4 months ago
- Safe blue/green deployment of Amazon SageMaker endpoints using AWS CodePipeline, CodeBuild and CodeDeploy.☆104Updated 2 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
- Distributed training with SageMaker's script mode using Horovod distributed deep learning framework☆32Updated 5 years ago
- A Personalized 'Shop-by-Style' Experience via PyTorch on Amazon SageMaker and Amazon Neptune☆24Updated 3 years ago
- This repo provides an end-to-end example of using streaming feature aggregation with the Amazon SageMaker Feature Store.☆46Updated 3 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…☆69Updated 8 months ago
- Hosting code-server on Amazon SageMaker☆54Updated last year