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modeltime.resampleResampling Tools for Time Series Forecasting with Modeltime
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grafana-redistimeseriesThis project is deprecated in favor of https://github.com/RedisTimeSeries/grafana-redis-datasource
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timecorrEstimate dynamic high-order correlations in multivariate timeseries data
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downsampleCollection of several downsampling methods for time series visualisation purposes.
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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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ARCHModels.jlA Julia package for estimating ARMA-GARCH models.
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hasticHastic standalone
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ncdfgeomNetCDF-CF Geometry and Timeseries Tools for R: https://code.usgs.gov/water/ncdfgeom
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pyts-reproA repository to compare the performance between the algorithms implemented in pyts and the performance reported in the literature
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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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ReCOVER-COVID-19Data-driven COVID-19 forecasts and detection of unreported cases
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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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bookvisSources of the book "Displaying time series, spatial and space-time data with R" (2nd Edition)
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Esrnn GpuPyTorch GPU implementation of the ES-RNN model for time series forecasting
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cnosdbAn Open Source Distributed Time Series Database with high performance, high compression ratio and high usability.
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demographydemography package for R
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tempoAPI for manipulating time series on top of Apache Spark: lagged time values, rolling statistics (mean, avg, sum, count, etc), AS OF joins, downsampling, and interpolation
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dtw-pythonPython port of R's Comprehensive Dynamic Time Warp algorithms package
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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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magi📈 high level wrapper for parallel univariate time series 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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