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
Related projects ⓘ
Alternatives and complementary repositories for aws-sagemaker-ground-truth-recipe
- SageMaker custom deployments made easy☆57Updated 10 months ago
- Visual search implementation resources, including an explanatory Jupyter notebook and Amazon SageMaker and AWS DeepLens code.☆63Updated 3 years ago
- Over 60 example task UIs for Amazon Augmented AI (A2I)☆94Updated 3 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 Groundtruth custom workflow☆32Updated 5 years ago
- SageMaker specific extensions to TensorFlow.☆54Updated 3 months ago
- Sample Jupyter Notebooks for Amazon Augmented AI (A2I)☆69Updated 11 months ago
- Toolkit for running PyTorch training scripts on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at https://gith…☆199Updated last year
- Example task UIs for Amazon SageMaker Ground Truth☆109Updated 3 weeks ago
- As customers move from building data lakes and analytics on AWS to building machine learning solutions, one of their biggest challenges i…☆61Updated 5 years ago
- A project template for developing BYOD docker images for use in Amazon SageMaker.☆19Updated 4 years ago
- This sample demonstrates how to setup an Amazon SageMaker MLOps end-to-end pipeline for Drift detection☆59Updated last year
- This workshop demonstrates two methods of machine learning inference for global production using AWS Lambda and Amazon SageMaker☆57Updated 4 years ago
- Docker images that replicate the Amazon SageMaker Notebook instance.☆58Updated 2 years ago
- ☆57Updated 2 years ago
- Serve scikit-learn, XGBoost, TensorFlow, and PyTorch models with AWS Lambda container images support.☆96Updated 3 months ago
- End to end Machine Learning with Amazon SageMaker☆41Updated 8 months ago
- ☆45Updated 6 months 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…☆66Updated 4 months ago
- Toolkit for running MXNet training scripts on SageMaker. Dockerfiles used for building SageMaker MXNet Containers are at https://github.c…☆60Updated last year
- Safe blue/green deployment of Amazon SageMaker endpoints using AWS CodePipeline, CodeBuild and CodeDeploy.☆104Updated 2 years ago
- Amazon SageMaker MLOps deployment pipeline for A/B Testing of machine learning models.☆42Updated 3 years ago
- Distributed training with SageMaker's script mode using Horovod distributed deep learning framework☆32Updated 4 years ago
- This sample show you how to train BERT on Amazon Sagemaker using Spot instances☆31Updated 10 months ago
- AI_ML_Workshops☆51Updated 4 years ago
- CLI for building Docker images in SageMaker Studio using AWS CodeBuild.☆57Updated 2 years ago
- Examples showing use of NGC containers and models withing Amazon SageMaker☆17Updated 2 years ago
- Build Train and Deploy your own custom container using AWS StepFunctions Data Science SDK☆22Updated 4 years ago