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airflow-docker

Orchestration of data science models in Apache Airflow, scale-up with Celery Executor and deploying in multiple Docker containers

apopt

APOPT Solver

azure-docs

azure-machinelearning-datascience

azure-tdsp-utilities

Utilities and scripts developed as part of Microsoft's Team Data Science Process for productive data science

bikeshare

Bikeshare Tutorial

botbuilder

The Microsoft Bot Builder SDK is one of three main components of the Microsoft Bot Framework. The Microsoft Bot Framework provides just what you need to build and connect intelligent bots that interact naturally wherever your users are talking, from text/SMS to Skype, Slack, Office 365 mail and other popular services.

botframework

Microsoft Bot Framework helpers and additional dialogs

charts

d3

Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:

datahub-helm

Repository of helm charts for deploying DataHub on a Kubernetes cluster

docker-bench-security

The Docker Bench for Security is a script that checks for dozens of common best-practices around deploying Docker containers in production.

docker-spark-1

Tutorial for setting up a Spark cluster running inside of Docker containers located on different machines

docker-stacks

Ready-to-run Docker images containing Jupyter applications

faust

Python Stream Processing

gke-grpc-glb

Run a GRPC service in GKE and expose it through the GCP Global LoadBalancer

interactive-broker-python-api

A python client library for the different APIs offered by Interactive Broker including the Trader Workstation API, Client Portal Web API, and Client Portal Streaming Web API.

iris-tutorial

Iris-Tutorial

kube-cleanup-operator

Kubernetes Operator to automatically delete completed Jobs and their Pods

ludwig

Ludwig is a toolbox that allows to train and evaluate deep learning models without the need to write code.

machine-learning-web-apps

Building and Embedding Machine Learning Model into a Web App(With Flask,Streamlit,etc)

machinelearningnotebooks

Use the sample notebooks in this repo to explore the Azure Machine Learning service. Start with the 01.getting-started notebooks.