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Python implementation for time series forecasting with SARIMAX/SARIMA models and hyperparameter tuning. Enhance your predictions!

Implementation of a couple neural networks for time-series prediction on interface traffic with orionsdk

Implementation of an online sequential extreme learning machine with kernels for nonstationary time series prediction.

Transfer Knowledge Learned from Multiple Domains for Time-series Data Prediction

The implementation of paper: IMTS is Worth Time × Channel Patches: Visual Masked Autoencoders for Irregular Multivariate Time Series Prediction, ICML 2025

Matlab Variational LSTM Autoencoder and Time Series Prediction for anomaly detection. Some code of my masters thesis. Download Link: https://pure.unileoben.ac.at/portal/files/6093740/AC16131071.pdf

Predication of stock market price using different machine learning models

This is an official implementation for "Neural MJD: Neural Non-Stationary Merton Jump Diffusion for Time Series Prediction", https://arxiv.org/abs/2506.04542

The aim of this repository is to merge several methods into one library to allow the user to establish the dynamics followed and to make predictions on a time series that does not follow usual dynamics.

Using machine learning models like linear regression to make predictions for time series data