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Topic: "multi-step-ahead-forecasting"

albertogaspar/dts

A Keras library for multi-step time-series forecasting.

Language: Python - Size: 1.03 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 165 - Forks: 42

nredell/forecastML

An R package with Python support for multi-step-ahead forecasting with machine learning and deep learning algorithms

Language: R - Size: 28.9 MB - Last synced at: 9 months ago - Pushed at: almost 5 years ago - Stars: 131 - Forks: 23

sharmi1206/covid-19-analysis

Covid-19 India's statewide analysis with census data 2011 and Kaggle data

Language: Jupyter Notebook - Size: 14.2 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 14 - Forks: 13

akhodadadi/MultiStepAheadForecasting

multi-step ahead forecasting of spatio-temporal data

Language: Jupyter Notebook - Size: 11.1 MB - Last synced at: about 2 years ago - Pushed at: almost 7 years ago - Stars: 10 - Forks: 6

xxl4tomxu98/econometrics-gdp-dpi-VAR

Multivariate time series Vector Autoregression Model (VAR) on real world GDP and DPI (and some other indexes). Bayesian Structured Time Series (BSTS).

Language: Jupyter Notebook - Size: 7.19 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 8 - Forks: 2

Skar0/time_series

Time series forecasting models for web traffic forecasting

Language: Python - Size: 39.9 MB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 7 - Forks: 4

jolares/replicate-sutton-1998-td-lambda-experiments

Replicates the Random Walk Experiments from Sutton's 1998 paper "Learning to predict by the methods of Temporal Differences"

Size: 9.77 KB - Last synced at: about 2 months ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0