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albelli_test

Albelli backend (Laravel + swagger) and frontend (React+redux) test

appinventorble

appinventorblemodule

Bluetooth Low Energy 4.0 module for app inventor

aws-sso-creds-default-login

Get AWS SSO temporary creds from an SSO profile. Includes set as the default profile inside the credentials and login flag.

binarygan

Wind turbine classification with GAN.

ble_gattt_myo

Bluetooth low energy code in Python that works in onion omega and others linux based microdistributions with blueztools.

co3_gamificationform_vue

A form for capturing the users' gamification profile, developed in VUE.js

contiki-sensinode

This repository holds multiple hardware ports of the Contiki Embedded OS. Check out the wiki for details:

crossplatformuvic

Nodejs, angularjs, phonegap,jquery examples exercises.

datafusion_cdap_action_plugin

Complete example project to create a custom Google cloud datafusion (CDAP) action plugin. Sourced and adapted from the documentation where there is no quickstart project.

datafusion_cdap_alert_publisher_plugin

Complete example project to create a custom Google cloud datafusion (CDAP) alert publisher plugin. Sourced and adapted from the documentation where there is no quickstart project.

datafusion_cdap_batch_aggregator_plugin

Complete example project to create a custom Google cloud datafusion (CDAP) batch aggregator plugin. Sourced and adapted from the documentation where there is no quickstart project.

datafusion_cdap_batch_joiner_plugin

Complete example project to create a custom Google cloud datafusion (CDAP) batch joiner plugin. Sourced and adapted from the documentation where there is no quickstart project.

datafusion_cdap_batch_sink_plugin

Complete example project to create a custom Google cloud datafusion (CDAP) batch sink plugin. Sourced and adapted from the documentation where there is no quickstart project.

datafusion_cdap_batch_source_plugin

Complete example project to create a custom Google cloud datafusion (CDAP) batch source plugin. Sourced and adapted from the documentation where there is no quickstart project.

datafusion_cdap_error_transformation_plugin

Complete example project to create a custom Google cloud datafusion (CDAP) error transformation plugin. Sourced and adapted from the documentation where there is no quickstart project.

datafusion_cdap_postaction_plugin

Complete example project to create a custom Google cloud datafusion (CDAP) Post action plugin. Sourced and adapted from the documentation where there is no quickstart project.

datafusion_cdap_spark_compute_plugin

Complete example project to create a custom Google cloud datafusion (CDAP) spark compute plugin. Sourced and adapted from the documentation where there is no quickstart project.

datafusion_cdap_spark_sink_plugin

Complete example project to create a custom Google cloud datafusion (CDAP) spark sink plugin. Sourced and adapted from the documentation where there is no quickstart project.

datafusion_cdap_spark_streaming_source_plugin

Complete example project to create a custom Google cloud datafusion (CDAP) spark streaming source plugin. Sourced and adapted from the documentation where there is no quickstart project.

datafusion_cdap_transformation_plugin

Complete example project to create a custom Google cloud datafusion (CDAP) transformation plugin. Sourced and adapted from the documentation where there is no quickstart project.

datafusion_cdap_windower_plugin

Complete example project to create a custom Google cloud datafusion (CDAP) windower plugin. Sourced and adapted from the documentation where there is no quickstart project.

dbscan_clustering_windturbines

R DBSCAN data clustering algorithm applied to wind turbine dataset. The code includes other algorithms for normalizing and transform the data.

deep_learning_autoencoder_and_variatonal_autoencoder

A deep learning implementation of variational autoencoder for filtering the wind turbine dataset.

deep_learning_gan_with_windturbine_data

A deep learning implementation of GAN (Generative adversarial network) using two CNN/LSTM(convolutional neural networks) implemented with Keras and Tensorflow in R.

deep_learning_lstm_text_classifier_windturbine

A deep learning implementation using multiple LSTM layers and variable dropout ratios for classifying text. That text is the description of a wind turbine failure, and it is associated with OK or a failure condition (supervised problem)

docker-hbase-m1

docker-hbase-m1

elm_classifier

A wind turbine failure state classifier based on extreme learning machines (ELM)

entropy_based_counter_detection

Implementation of an entropy-based algorithm in MATLAB for detecting variables whose values have an incremental tendency, even if that tendency is irregular or in some segments in time.

feastr

FEAST toolbox R package implementation