itsderek23 / lessonsLinks
📚 Learn ML with clean code, simplified math and illustrative visuals. As you learn, work on interesting projects and share them on https://madewithml.com for the community to discover and learn from!
☆12Updated 5 years ago
Alternatives and similar repositories for lessons
Users that are interested in lessons are comparing it to the libraries listed below
Sorting:
- This sample demonstrates how to setup an Amazon SageMaker MLOps end-to-end pipeline for Drift detection☆62Updated last year
- ☆96Updated 4 years ago
- Learn Amazon SageMaker☆106Updated 2 years ago
- Serve scikit-learn, XGBoost, TensorFlow, and PyTorch models with AWS Lambda container images support.☆100Updated 11 months ago
- End to end Machine Learning with Amazon SageMaker☆42Updated last year
- Amazon SageMaker MLOps deployment pipeline for A/B Testing of machine learning models.☆44Updated 4 years ago
- SageMaker custom deployments made easy☆62Updated 3 months ago
- ☆135Updated last year
- Amazon SageMaker examples for prebuilt framework mode containers, a.k.a. Script Mode, and more (BYO containers and models etc.)☆172Updated last year
- Open innovation with 60 minute cloud experiments on AWS☆88Updated last year
- Materials for a 2-day instructor led course on applying machine learning☆200Updated 4 years 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☆108Updated 4 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
- This repo provides an end-to-end example of using streaming feature aggregation with the Amazon SageMaker Feature Store.☆46Updated 4 years ago
- ☆25Updated 5 years ago
- SageMaker specific extensions to TensorFlow.☆54Updated 11 months ago
- Sample Jupyter Notebooks for Amazon Augmented AI (A2I)☆72Updated last year
- A project template for developing BYOD docker images for use in Amazon SageMaker.☆19Updated 5 years ago
- Safe blue/green deployment of Amazon SageMaker endpoints using AWS CodePipeline, CodeBuild and CodeDeploy.☆106Updated 2 years ago
- The open source version of the Amazon SageMaker docs☆251Updated 2 years ago
- CLI for building Docker images in SageMaker Studio using AWS CodeBuild.☆56Updated 3 years ago
- [Video]AWS Certified Machine Learning-Specialty (ML-S) Guide☆121Updated 6 months ago
- Amazon SageMaker Solution for explaining credit decisions.☆97Updated 2 years ago
- MLOps End-to-End Example using Amazon SageMaker Pipeline, AWS CodePipeline and AWS CDK☆147Updated 2 months ago
- The MLOps Workload Orchestrator solution helps you streamline and enforce architecture best practices for machine learning (ML) model pro…☆154Updated last month
- Capturing model drift and handling its response - Example webinar☆108Updated 5 years ago
- This is the Docker container based on open source framework XGBoost (https://xgboost.readthedocs.io/en/latest/) to allow customers use th…☆138Updated 3 weeks ago
- Example custom model image trainable and distributable via AWS SageMaker☆35Updated 2 years ago
- A serverless framework for continuous machine learning pipeline automation☆14Updated 4 years ago
- This repository contains examples of Docker images that can be used as custom images for KernelGateway Apps in SageMaker Studio☆132Updated 2 years ago