Kostas Mammas's repositories
EarthBiAs2017
Material for Big Data Analysis in Earth Sciences - EarthBiAs2017
azure-docs
Open source documentation of Microsoft Azure
ad_examples
A collection of popular anomaly detection methods (iid/point-based and time series) including active learning for anomaly detection/discovery, description for diversity/explanation/interpretability. With a deeper analysis of incorporating label feedback with ensemble and tree-based detectors. Includes results-plots and illustrations for most approaches covered.
arff-datasets
The collection of ARFF datasets of the Connectionist Artificial Intelligence Laboratory (LIAC)
Classification
An implementation of balancing classes during cross-validation when solving a classification problem
tutorial-run-r-batch-azure-data-factory
Run R scripts as part of a pipeline using Azure Batch through Azure Data Factory
data.table
R's data.table package extends data.frame:
Deep-Learning
Deep Learning Course
droughtBias
This is a repository with codebase and results of the publication: "Characterization of Bias During Meteorological Drought Calculation in Time Series Out-of-Sample Validation"
fully-justified-text
Automatically exported from code.google.com/p/fully-justified-text
mammask.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
mammask_old.github.io
Stylish, minimalistic theme for jekyll.
ShinyEnvApp
Shiny web application using data from ECA
talos
Hyperparameter Optimization for TensorFlow, Keras and PyTorch