mariokostelac / sagemaker-setup
Useful scripts for making AWS SageMaker better
☆23Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for sagemaker-setup
- WARNING: This package has been deprecated. Please use the SageMaker Training Toolkit for model training and the SageMaker Inference Toolk…☆185Updated 4 years ago
- ☆92Updated 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…☆66Updated 5 months ago
- ☆143Updated last year
- A collection of sample scripts to customize Amazon SageMaker Notebook Instances using Lifecycle Configurations☆422Updated 7 months ago
- Safe blue/green deployment of Amazon SageMaker endpoints using AWS CodePipeline, CodeBuild and CodeDeploy.☆104Updated 2 years ago
- SageMaker specific extensions to TensorFlow.☆54Updated 4 months ago
- Build Train and Deploy your own custom container using AWS StepFunctions Data Science SDK☆22Updated 4 years ago
- Kedro Wings automatically creates catalog entries to simplify Kedro pipeline writing. See the video here: https://www.youtube.com/watch?v…☆22Updated last year
- Amazon SageMaker Local Mode Examples☆248Updated 3 months ago
- This repo will teach you how to deploy an ML-powered web app to AWS Fargate from start to finish using Streamlit and AWS CDK☆107Updated 3 years ago
- Amazon SageMaker Debugger provides functionality to save tensors during training of machine learning jobs and analyze those tensors☆161Updated 6 months ago
- Implementing Plotly's Dash on AWS Lambda via Zappa☆39Updated 7 years ago
- SageMaker custom deployments made easy☆57Updated 10 months ago
- This repository contains examples of Docker images that can be used as custom images for KernelGateway Apps in SageMaker Studio☆128Updated last year
- Reference package for unit tests☆49Updated 6 years ago
- Docker image for high-performance Machine Learning web applications. With Uvicorn managed by Gunicorn in Python 3.7 and 3.6, using Conda,…☆67Updated 2 years ago
- Tools to run Jupyter notebooks as jobs in Amazon SageMaker - ad hoc, on a schedule, or in response to events☆142Updated last year
- Deploy your pretrained model on AWS SageMaker☆36Updated 6 years ago
- A tutorial for running python scripts using AWS Batch☆63Updated 4 years ago
- Amazon SageMaker examples for prebuilt framework mode containers, a.k.a. Script Mode, and more (BYO containers and models etc.)☆171Updated 11 months ago
- This is the Docker container based on open source framework XGBoost (https://xgboost.readthedocs.io/en/latest/) to allow customers use th…☆125Updated last month
- Summarise and explore Pandas DataFrames☆100Updated 4 years ago
- Experiment tracking and metric logging for Amazon SageMaker notebooks and model training.☆127Updated last year
- In this repository, we will present techniques to detect covariate drift, and demonstrate how to incorporate your own custom drift detect…☆13Updated 3 years ago
- This repo provides an end-to-end example of using streaming feature aggregation with the Amazon SageMaker Feature Store.☆45Updated 3 years ago
- Hosting code-server on Amazon SageMaker☆52Updated last year