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amazon-dsstne

Deep Scalable Sparse Tensor Network Engine (DSSTNE) is an Amazon developed library for building Deep Learning (DL) machine learning (ML) models

anomaly-detection

Anomaly detection algorithm implementation in Python

awesome-kubernetes

A curated list for awesome kubernetes sources :ship::tada:

azureiot

bonesi

BoNeSi - the DDoS Botnet Simulator

ckad-exercises

A set of exercises to prepare for Certified Kubernetes Application Developer exam by Cloud Native Computing Foundation

devguide-examples

Examples for topics in the developer guide

docker-anomalies

Docker container anomaly detection

dockercompose

examples

A repository to host extended examples and tutorials

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

httpserver

hygieia

CapitalOne DevOps Dashboard

infrastructure-as-code-testing-talk

Sample code for the talk "How to test your infrastructure code: automated testing for Terraform, Docker, Packer, Kubernetes, and more" by Yevgeniy Brikman

invokeawslambda

NodeJs code to invoke a AWS Lambda function.

iot-nodejs

Client libraries and samples for connecting to IBM Watson IoT using nodejs

javascript

OOP in JS

jsforce

Salesforce API Library for JavaScript applications (both on Node.js and web browser)

kibana

:bar_chart: Kibana analytics and search dashboard for Elasticsearch

koalas

Koalas: pandas API on Apache Spark

lambdaexample

AWS Lamdba example

langdetect

Port of Google's language-detection library to Python.

learn_machine_learning_in_3_months

This is the code for "Learn Machine Learning in 3 Months" by Siraj Raval on Youtube

log-anomaly-detector

Log Anomaly Detection - Machine learning to detect abnormal events logs in application logs

loopback-next

LoopBack makes it easy to build modern API applications that require complex integrations.

magick.net

The .NET wrapper for the ImageMagick library

ml_python

mockey

Mockey is a tool for testing application interactions over http, with a focus on testing web services, specifically web or native applications that consume XML, JSON, and HTML. Mockey's purpose is to be a simple front end to writing mock-test-responses to the file system for persistence to git.

models

Models built with TensorFlow

mosca

MQTT broker as a module