SARS-CoV-2-Nowcasting und -R-SchaetzungDas Nowcasting erstellt eine Schätzung des Verlaufs der Anzahl von bereits erfolgten SARS-CoV-2-Erkrankungsfällen in Deutschland unter Berücksichtigung des Diagnose-, Melde- und Übermittlungsverzugs.
Stars: ✭ 80 (+29.03%)
ProphetTool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
Stars: ✭ 13,832 (+22209.68%)
CoronaDashCOVID-19 spread shiny dashboard with a forecasting model, countries' trajectories graphs, and cluster analysis tools
Stars: ✭ 20 (-67.74%)
wattnet-fx-tradingWATTNet: Learning to Trade FX with Hierarchical Spatio-Temporal Representations of Highly Multivariate Time Series
Stars: ✭ 70 (+12.9%)
Qlik Py ToolsData Science algorithms for Qlik implemented as a Python Server Side Extension (SSE).
Stars: ✭ 135 (+117.74%)
download water dataDownloader for the Global Surface Water Data of the Copernicus Programme
Stars: ✭ 25 (-59.68%)
TcdfTemporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series
Stars: ✭ 217 (+250%)
PyftsAn open source library for Fuzzy Time Series in Python
Stars: ✭ 154 (+148.39%)
ml floodMachine learning to predict floods
Stars: ✭ 50 (-19.35%)
ATLASDatasets, code and virtual workspace for the Climate Change ATLAS
Stars: ✭ 56 (-9.68%)
ForecastmlAn R package with Python support for multi-step-ahead forecasting with machine learning and deep learning algorithms
Stars: ✭ 101 (+62.9%)
Sales-PredictionIn depth analysis and forecasting of product sales based on the items, stores, transaction and other dependent variables like holidays and oil prices.
Stars: ✭ 56 (-9.68%)
era5 in geeFunctions and Python scripts to ingest ERA5 data into Google Earth Engine
Stars: ✭ 63 (+1.61%)
SCINetForecast time series and stock prices with SCINet
Stars: ✭ 28 (-54.84%)
anompyA Python library for anomaly detection
Stars: ✭ 13 (-79.03%)
sknifedatarsknifedatar is a package that serves primarily as an extension to the modeltime 📦 ecosystem. In addition to some functionalities of spatial data and visualization.
Stars: ✭ 30 (-51.61%)
SupplychainpySupplychainpy is a Python library for supply chain analysis, modelling and simulation. The library assists a workflow that is reliant on Excel and VBA.
Stars: ✭ 184 (+196.77%)
hydrotoolsSuite of tools for retrieving USGS NWIS observations and evaluating National Water Model (NWM) data.
Stars: ✭ 36 (-41.94%)
ForecastingTime Series Forecasting Best Practices & Examples
Stars: ✭ 2,123 (+3324.19%)
cfdmA Python reference implementation of the CF data model
Stars: ✭ 24 (-61.29%)
Statespacemodels.jlStateSpaceModels.jl is a Julia package for time-series analysis using state-space models.
Stars: ✭ 116 (+87.1%)
PyForecastPyForecast is a statistical modeling tool used by Reclamation water managers and reservoir operators to train and build predictive models for seasonal inflows and streamflows. PyForecast allows users to make current water-year forecasts using models developed with the program.
Stars: ✭ 24 (-61.29%)
ErgoA Python library for integrating model-based and judgmental forecasting
Stars: ✭ 82 (+32.26%)
xarray-sentinelXarray backend to Copernicus Sentinel-1 satellite data products
Stars: ✭ 189 (+204.84%)
ewstoolsPython package for early warning signals (EWS) of bifurcations in time series data.
Stars: ✭ 29 (-53.23%)
ForestCoverChangeDetecting and Predicting Forest Cover Change in Pakistani Areas Using Remote Sensing Imagery
Stars: ✭ 23 (-62.9%)
Deep XFPackage towards building Explainable Forecasting and Nowcasting Models with State-of-the-art Deep Neural Networks and Dynamic Factor Model on Time Series data sets with single line of code. Also, provides utilify facility for time-series signal similarities matching, and removing noise from timeseries signals.
Stars: ✭ 83 (+33.87%)
query-selectorLONG-TERM SERIES FORECASTING WITH QUERYSELECTOR – EFFICIENT MODEL OF SPARSEATTENTION
Stars: ✭ 63 (+1.61%)
Diebold-Mariano-TestThis Python function dm_test implements the Diebold-Mariano Test (1995) to statistically test forecast accuracy equivalence for 2 sets of predictions with modification suggested by Harvey et. al (1997).
Stars: ✭ 70 (+12.9%)
dbnRGaussian dynamic Bayesian networks structure learning and inference based on the bnlearn package
Stars: ✭ 33 (-46.77%)
Da RnnDual-Stage Attention-Based Recurrent Neural Net for Time Series Prediction
Stars: ✭ 242 (+290.32%)
DDoS-ScriptA script written in perl for ddos with automatic detection of open and vulnerable port that gives up to 1.5 gb packages / s
Stars: ✭ 30 (-51.61%)
ModeltimeModeltime unlocks time series forecast models and machine learning in one framework
Stars: ✭ 189 (+204.84%)
overload📡 Overload DoS Tool (Layer 7)
Stars: ✭ 167 (+169.35%)
pixelpwnr🎆 Insanely fast pixelflut client for images and animations written in Rust.
Stars: ✭ 50 (-19.35%)
ETDatasetThe Electricity Transformer dataset is collected to support the further investigation on the long sequence forecasting problem.
Stars: ✭ 290 (+367.74%)
StocksPrograms for stock prediction and evaluation
Stars: ✭ 155 (+150%)
fpp3packageAll data sets required for the examples and exercises in the book "Forecasting: principles and practice" (3rd ed, 2020) by Rob J Hyndman and George Athanasopoulos <http://OTexts.org/fpp3/>. All packages required to run the examples are also loaded.
Stars: ✭ 93 (+50%)
Gluon TsProbabilistic time series modeling in Python
Stars: ✭ 2,373 (+3727.42%)
pssaSingular Spectrum Analysis for time series forecasting in Python
Stars: ✭ 119 (+91.94%)
WayebWayeb is a Complex Event Processing and Forecasting (CEP/F) engine written in Scala.
Stars: ✭ 138 (+122.58%)
pixelpwnr-server🎆 Blazingly fast GPU accelerated pixelflut server written in Rust.
Stars: ✭ 43 (-30.65%)
PecanThe Predictive Ecosystem Analyzer (PEcAn) is an integrated ecological bioinformatics toolbox.
Stars: ✭ 132 (+112.9%)
FLOBOTEU funded Horizon 2020 project
Stars: ✭ 20 (-67.74%)
Deep QuantDeep learning for forecasting company fundamental data
Stars: ✭ 112 (+80.65%)
notebooksCode examples for pyFTS
Stars: ✭ 40 (-35.48%)
AutoTSAutomated Time Series Forecasting
Stars: ✭ 665 (+972.58%)
forecasting modelsAn overview of univariate time series forecasting models with sample code.
Stars: ✭ 39 (-37.1%)
mlforecastScalable machine 🤖 learning for time series forecasting.
Stars: ✭ 96 (+54.84%)
silencebotSilence Bot for your Telegram supergroups
Stars: ✭ 19 (-69.35%)
verifSoftware for verifying weather forecasts
Stars: ✭ 70 (+12.9%)
forecastVegA Machine Learning Approach to Forecasting Remotely Sensed Vegetation Health in Python
Stars: ✭ 44 (-29.03%)