Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

Mike Chambers Machine Learning Specialty - July 2018

Build worker safety app using AWS DeepLens and Amazon Rekognition.

Serverless ETL using cloud functions https://fivetran.com/docs/functions

A curated collection of places where you can learn robotics, algorithms, and other useful tools for aspiring robotics software engineers.

a jobsystem on AWS ECS, AWS Batch or AWS EMR managing dependencies and scheduling

Train Schedule sample app for Jenkins Pipelines CD with Kubernetes exercises

Topic Modelling for Humans

Configure and manage AWS Batch jobs.

The code is meant to be shared via a blog post. We build a demo that uses the AWS DeepLens and tracks the number of coffees people drink throughout the day. Alongside the DeepLens, we also built a …

A sample AWS Step Functions (SFN) state machine, designed to one-way synchronize an Amazon S3 source bucket into another S3 destination bucket.

A distributed event bus that implements a RESTful API abstraction on top of Kafka-like queues

🏡 Open source home automation that puts local control and privacy first

A serverless architecture for orchestrating ETL jobs in arbitrarily-complex workflows using AWS Step Functions and AWS Lambda.

Flask app that will get you up and running on AWS (also uses RDS as a database)

AWS Batch 101

AWS Lex based chatbot that calculates calories based on different fast food restaurants. This was an entry for a coding challenge on DevPost, and is actively used on Facebook Messenger. The issues …

Data Discovery and Lineage for Big Data Ecosystem

DX Analytics

Python client library for the Square Connect APIs

A microframework based on Werkzeug, Jinja2 and good intentions

System design interview for IT companies

📝 Python / C++ 11 Solutions of All 468 LeetCode Questions