mammask Goto Github PK

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

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"

droughtr

An R package for non-stationary meteorological drought monitoring

earthbias2017

Material for Big Data Analysis in Earth Sciences - EarthBiAs2017

envstats

A code repository to perform analytics on environmental time-series

fully-justified-text

Automatically exported from code.google.com/p/fully-justified-text

getenv

An R interface to download environmental data from ecad.eu

hdbscan

A high performance implementation of HDBSCAN clustering.

intvis

Interactive visualisation scripts using R

lag-llama

Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting

lstm_spi

Unbiased model forecast of SPI using LSTM

mammask.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

mammask_old.github.io

Stylish, minimalistic theme for jekyll.

ms_codess_event

shinyenvapp

Shiny web application using data from ECA

talos

Hyperparameter Optimization for TensorFlow, Keras and PyTorch

tutorial-run-r-batch-azure-data-factory

Run R scripts as part of a pipeline using Azure Batch through Azure Data Factory