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

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

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

multi-step ahead forecasting of spatio-temporal data

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

Time series forecasting models for web traffic forecasting

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