mammask
Head of Global Analytics | Statistical Programmer | Time Series Forecasting
University of the Aegean | Department of EnvironmentGreece
Pinned Repositories
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)
azure-docs
Open source documentation of Microsoft Azure
Classification
An implementation of balancing classes during cross-validation when solving a classification problem
droughtR
An R package for non-stationary meteorological drought monitoring
EarthBiAs2017
Material for Big Data Analysis in Earth Sciences - EarthBiAs2017
GetEnv
An R interface to download environmental data from ecad.eu
IntVis
Interactive visualisation scripts using R
MS_Codess_Event
tutorial-run-r-batch-azure-data-factory
Run R scripts as part of a pipeline using Azure Batch through Azure Data Factory
mammask's Repositories
mammask/droughtR
An R package for non-stationary meteorological drought monitoring
mammask/EarthBiAs2017
Material for Big Data Analysis in Earth Sciences - EarthBiAs2017
mammask/GetEnv
An R interface to download environmental data from ecad.eu
mammask/azure-docs
Open source documentation of Microsoft Azure
mammask/IntVis
Interactive visualisation scripts using R
mammask/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.
mammask/arff-datasets
The collection of ARFF datasets of the Connectionist Artificial Intelligence Laboratory (LIAC)
mammask/Classification
An implementation of balancing classes during cross-validation when solving a classification problem
mammask/LSTM_SPI
Unbiased model forecast of SPI using LSTM
mammask/MS_Codess_Event
mammask/tutorial-run-r-batch-azure-data-factory
Run R scripts as part of a pipeline using Azure Batch through Azure Data Factory
mammask/data.table
R's data.table package extends data.frame:
mammask/Deep-Learning
Deep Learning Course
mammask/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"
mammask/envStats
A code repository to perform analytics on environmental time-series
mammask/fully-justified-text
Automatically exported from code.google.com/p/fully-justified-text
mammask/hdbscan
A high performance implementation of HDBSCAN clustering.
mammask/lag-llama
Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting
mammask/mammask.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
mammask/mammask_old.github.io
Stylish, minimalistic theme for jekyll.
mammask/ShinyEnvApp
Shiny web application using data from ECA
mammask/talos
Hyperparameter Optimization for TensorFlow, Keras and PyTorch