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.

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/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