samir-souza / ai-workshopLinks
Artificial Intelligence Workshop
☆46Updated 7 years ago
Alternatives and similar repositories for ai-workshop
Users that are interested in ai-workshop are comparing it to the libraries listed below
Sorting:
- Machine Learning Ops Workshop with SageMaker: lab guides and materials.☆330Updated 4 years ago
- Materials for a 2-day instructor led course on applying machine learning☆200Updated 4 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
- ☆78Updated 5 years ago
- Cool DIY robots for your amazing project☆12Updated 4 years ago
- Enterprise-grade, production-hardened, serverless data lake on AWS☆471Updated 2 weeks ago
- Building e-health IoT solutions with AWS☆22Updated 6 years ago
- Safe blue/green deployment of Amazon SageMaker endpoints using AWS CodePipeline, CodeBuild and CodeDeploy.☆106Updated 2 years ago
- Amazon SageMaker workshops: Introduction, TensorFlow in SageMaker, and more☆388Updated 3 years ago
- ☆152Updated 2 years ago
- This repo provides a managed SageMaker jupyter notebook with a number of notebooks for hands on workshops in data lakes, AI/ML, Batch, Io…☆128Updated 3 weeks ago
- ☆52Updated 8 years ago
- Build, train & debug, and deploy & monitor with Amazon SageMaker☆120Updated 3 years ago
- CloudFormation templates and scripts to setup the AWS services for the workshop, Athena & Redshift Spectrum queries☆177Updated 5 years ago
- This site has a lot of security breaches to exploit. Do not install on production environments!☆12Updated last year
- Airflow Deployment on AWS ECS Fargate Using Cloudformation☆204Updated 3 years ago
- Tools to run Jupyter notebooks as jobs in Amazon SageMaker - ad hoc, on a schedule, or in response to events☆144Updated last year
- As customers move from building data lakes and analytics on AWS to building machine learning solutions, one of their biggest challenges i…☆63Updated 6 years ago
- ML made simple☆209Updated 2 years ago
- ☆20Updated 5 years ago
- A collection of recommended practices to accelerate the building of secure data science environments in regulated environments.☆49Updated 2 years ago
- AI_ML_Workshops☆52Updated 5 years ago
- Step Functions Data Science SDK for building machine learning (ML) workflows and pipelines on AWS☆292Updated 5 months ago
- Amazon SageMaker examples for prebuilt framework mode containers, a.k.a. Script Mode, and more (BYO containers and models etc.)☆171Updated last year
- Some crazy experiments☆35Updated 3 weeks ago
- Sagemaker pipeline for AWS Summit New York☆58Updated 5 years ago
- Deep Learning demos with different frameworks (2016-2020)☆111Updated 2 months ago
- A workshop demonstrating the capabilities of S3, Athena, Glue, Kinesis, and Quicksight.☆158Updated 5 years ago
- Hands-on end-to-end workshop to explore Amazon SageMaker.☆59Updated 2 years ago
- AWS Certified Machine Learning - Specialty (MLS-C01)☆165Updated 2 years ago