Google Earth Engine implementation of the LandTrendr spectral-temporal segmentation algorithm. For documentation see:

Awesome-spatial-temporal-data-mining-packages. Julia and Python resources on spatial and temporal data mining. Mathematical epidemiology as an application. Most about package information. Data Sources Links and Epidemic Repos are also included. Keep updating.

Yeezy Taught Me Text Generation. Training next character predictions RNN LSTM model with user input text corpus

Online brower implementation of StoryFlow

Using machine learning to predict Georgia Tech bus arrival times

Publishing and analysing time series on the Semantic Web with Matrix Profile techniques

Toolbox for categorical time-series analysis.

This code repository is an attachment for the IGARSS 2023 proceeding paper: Paluba D. et al. (2023): "Unsupervised Burned Area Mapping in Greece: Investigating the impact of precipitation, pre- and post-processing of Sentinel-1 data in Google Earth Engine".

An interactive visual tool for time series analysis

https://docs.omniverse.nvidia.com/prod_install-guide/prod_install-guide/overview.html

This repository contains the source code for the server of the Time Series Prediction project.

Backend for Drive Analytics

Using time-series ARIMA model to analyze the water quality from remote sensing satellite images data and raise public awareness through web development. Site deployed on netlify platform : https://skavithaqua.netlify.app

In this repository, all the product are developed during participating my GIS Practicum course (Geog778).

A React/Flask application for displaying stock data fetched from IEX (EDIT: this no longer works due to the IEX API being deprecated)

COVID-19 has changed life as we know it. This deadly virus is an active crisis that is affecting people all over the globe leaving a large number of people unemployed. We are focusing on USA and India and aim to create a useful visualization about the spread and effects of COVID-19 in these countries.

Time series analysis for omics data.

Panorama 360 Kibana plugin

Using SVD to predict from a time series. Tutorial of GemCityML

Unobserved components model documentation