Bimsbaby's repositories
datalake-immersion-day
Creating Data Lake on AWS
ai-workshop
Artificial Intelligence Workshop
amazon-ai-building-better-bots
Code samples related to Building Better Bots published on the AI Blog - V2.0
amazon-ivs-auto-captions-web-demo
Use Amazon IVS in conjunction with Amazon Transcribe to deliver real-time captions for live streams.
amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
amazon-sagemaker-mlops-workshop
Machine Learning Ops Workshop with SageMaker: lab guides and materials.
amazon-sagemaker-safe-deployment-pipeline
Safe blue/green deployment of Amazon SageMaker endpoints using AWS CodePipeline, CodeBuild and CodeDeploy.
amazon-textract-serverless-large-scale-document-processing
Process documents at scale using Amazon Textract
aws-data-lake-solution
A deployable reference implementation intended to address pain points around conceptualizing data lake architectures that automatically configures the core AWS services necessary to easily tag, search, share, and govern specific subsets of data across a business or with other external businesses.
aws-labs
step by step guide for aws mini labs. Currently maintained on : https://github.com/Cloud-Yeti/aws-labs Youtube playlist for labs:
aws-weathergen
This software provides a starter kit for users to be able to take a range of data and have this data published on to arbitrary MQTT topics for consumption by any application able to ingest such a stream. This includes AWS IoT.
document-understanding-solution
Example of integrating & using Amazon Textract, Amazon Comprehend, Amazon Comprehend Medical, Amazon Kendra to automate the processing of documents for use cases such as enterprise search and discovery, control and compliance, and general business process workflow.
hugo
The world’s fastest framework for building websites.
M-A-Repo
M&A Repo
mlops-workload-orchestrator
The MLOps Workload Orchestrator solution helps you streamline and enforce architecture best practices for machine learning (ML) model productionization. This solution is an extendable framework that provides a standard interface for managing ML pipelines for AWS ML services and third-party services.
serverless-bot-framework
A solution which enables a multilingual conversational platform, facilitating the creation of applications using voice and text