forecasting modelsAn overview of univariate time series forecasting models with sample code.
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cfdmA Python reference implementation of the CF data model
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GAN-RNN Timeseries-imputationRecurrent GAN for imputation of time series data. Implemented in TensorFlow 2 on Wikipedia Web Traffic Forecast dataset from Kaggle.
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ffA fantasy football draft assistant with projections from ESPN, CBS, and NFL
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ETDatasetThe Electricity Transformer dataset is collected to support the further investigation on the long sequence forecasting problem.
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time-series-autoencoder📈 PyTorch dual-attention LSTM-autoencoder for multivariate Time Series 📈
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ewstoolsPython package for early warning signals (EWS) of bifurcations in time series data.
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Django LedgerA bookkeeping & financial analysis engine for the Django Framework. UNDER ACTIVE DEVELOPMENT & NOT STABLE YET.
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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.
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point-cloud-predictionSelf-supervised Point Cloud Prediction Using 3D Spatio-temporal Convolutional Networks
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modeltime.resampleResampling Tools for Time Series Forecasting with Modeltime
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AutoTSAutomated Time Series Forecasting
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TSForecastingThis repository contains the implementations related to the experiments of a set of publicly available datasets that are used in the time series forecasting research space.
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TsstudioTools for time series analysis and forecasting
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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).
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OrbitA Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
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verifSoftware for verifying weather forecasts
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AIODriveOfficial Python/PyTorch Implementation for "All-In-One Drive: A Large-Scale Comprehensive Perception Dataset with High-Density Long-Range Point Clouds"
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sknifedatarsknifedatar is a package that serves primarily as an extension to the modeltime 📦 ecosystem. In addition to some functionalities of spatial data and visualization.
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MerlionMerlion: A Machine Learning Framework for Time Series Intelligence
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pssaSingular Spectrum Analysis for time series forecasting in Python
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python-awipsA framework for querying AWIPS meteorological datasets from an EDEX Data Server.
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Forecasting with R practicesForecast using R language. The problems are from 'Forecasting: Principles and Practice(2nd ed.)'.
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forecastVegA Machine Learning Approach to Forecasting Remotely Sensed Vegetation Health in Python
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demographydemography package for R
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jelly-finA simple way to manage your finances with forecasting. We should automate our money, not make it automate us.
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PyafPyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.
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Solar-Rad-ForecastingIn these notebooks the entire research and implementation process carried out for the construction of various machine learning models based on neural networks that are capable of predicting levels of solar radiation is captured given a set of historical data taken by meteorological stations.
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magi📈 high level wrapper for parallel univariate time series forecasting 📉
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TimetkA toolkit for working with time series in R
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mlforecastScalable machine 🤖 learning for time series forecasting.
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footfoot是一个集足球数据采集器,简单分析的项目.AI足球球探为程序全自动处理,全程无人为参与干预足球分析足球预测程序.程序根据各大指数多维度数据,结合作者多年足球分析经验,精雕细琢,集天地之灵气,汲日月之精华,历时七七四十九天,经Bug九九八十一个,编码而成.有兴趣的朋友,可以关注一下公众号AI球探(微信号ai00268).
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Esrnn GpuPyTorch GPU implementation of the ES-RNN model for time series forecasting
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SCINetForecast time series and stock prices with SCINet
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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.
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notebooksCode examples for pyFTS
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Sales-PredictionIn depth analysis and forecasting of product sales based on the items, stores, transaction and other dependent variables like holidays and oil prices.
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arimaARIMA, SARIMA, SARIMAX and AutoARIMA models for time series analysis and forecasting in the browser and Node.js
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CoronaDashCOVID-19 spread shiny dashboard with a forecasting model, countries' trajectories graphs, and cluster analysis tools
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AtspyAtsPy: Automated Time Series Models in Python (by @firmai)
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hydrotoolsSuite of tools for retrieving USGS NWIS observations and evaluating National Water Model (NWM) data.
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ReCOVER-COVID-19Data-driven COVID-19 forecasts and detection of unreported cases
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SktimeA unified framework for machine learning with time series
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Flow ForecastDeep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
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LuminaireLuminaire is a python package that provides ML driven solutions for monitoring time series data.
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tsfeaturesCalculates various features from time series data. Python implementation of the R package tsfeatures.
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