nicolasmetallo / deploy-streamlit-on-fargate-with-aws-cdkLinks
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
☆108Updated 4 years ago
Alternatives and similar repositories for deploy-streamlit-on-fargate-with-aws-cdk
Users that are interested in deploy-streamlit-on-fargate-with-aws-cdk are comparing it to the libraries listed below
Sorting:
- ☆96Updated 4 years ago
- You're one command away from deploying your Streamlit app on AWS Fargate!☆47Updated 4 years ago
- Streamlit EDA Dashboard Powered by AWS Cloud☆84Updated 2 months ago
- Build and deploy a serverless data pipeline on AWS with no effort.☆111Updated 2 years ago
- SageMaker custom deployments made easy☆61Updated 5 months ago
- This sample demonstrates how to setup an Amazon SageMaker MLOps end-to-end pipeline for Drift detection☆62Updated last year
- This repository contains examples of Docker images that can be used as custom images for KernelGateway Apps in SageMaker Studio☆133Updated 2 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…☆74Updated last year
- Serve scikit-learn, XGBoost, TensorFlow, and PyTorch models with AWS Lambda container images support.☆100Updated last year
- Hosting code-server on Amazon SageMaker☆58Updated last year
- Template for a modular, Python-based data science project.☆39Updated last year
- Tools to run Jupyter notebooks as jobs in Amazon SageMaker - ad hoc, on a schedule, or in response to events☆144Updated last year
- This is the Docker container based on open source framework XGBoost (https://xgboost.readthedocs.io/en/latest/) to allow customers use th…☆139Updated last week
- Fairness Aware Machine Learning. Bias detection and mitigation for datasets and models.☆71Updated 5 months ago
- ☆87Updated last year
- CLI for building Docker images in SageMaker Studio using AWS CodeBuild.☆56Updated 3 years ago
- Compilation of examples of SageMaker inference options and other features.☆69Updated last month
- ☆136Updated last year
- Amazon SageMaker MLOps deployment pipeline for A/B Testing of machine learning models.☆44Updated 4 years ago
- ☆145Updated 2 years ago
- LLMs and Machine Learning done easily☆440Updated last month
- Amazon SageMaker Local Mode Examples☆259Updated 4 months ago
- Amazon SageMaker Managed Spot Training Examples☆50Updated last year
- Managing your machine learning lifecycle with MLflow and Amazon SageMaker☆153Updated this week
- Learn Amazon SageMaker☆106Updated last week
- Bare bones use-case for deploying a containerized web app (built in streamlit) on AWS.☆92Updated last year
- This repo provides an end-to-end example of using streaming feature aggregation with the Amazon SageMaker Feature Store.☆46Updated 4 years ago
- MLOps End-to-End Example using Amazon SageMaker Pipeline, AWS CodePipeline and AWS CDK☆147Updated 4 months ago
- ☆73Updated last year
- Support code for building and running Amazon SageMaker compatible Docker containers based on the open source framework Scikit-learn (http…☆181Updated this week