List of papers, code and experiments using deep learning for time series forecasting

Streamlit app to train, evaluate and optimize a Prophet forecasting model.

A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.

Time series analysis in the `tidyverse`

AtsPy: Automated Time Series Models in Python (by @firmai)

Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.

PyTorch implementation of Transformer model used in "Deep Transformer Models for Time Series Forecasting: The Influenza Prevalence Case"

Graph-based weather forecasting models. Originally, PyTorch implementation of Ryan Keisler's 2022 "Forecasting Global Weather with Graph Neural Networks" paper (https://arxiv.org/abs/2202.07575)

An open source library for Fuzzy Time Series in Python

QGIS toolkit 🧰 for pre- and post-processing 🔨, visualizing 🔍, and running simulations 💻 in the Weather Research and Forecasting (WRF) model 🌀

Extending broom for time series forecasting

This MVP data web app uses the Streamlit framework and Facebook's Prophet forecasting package to generate a dynamic forecast from your own data.

Sky Cast: A Comparison of Modern Techniques for Forecasting Time Series

MSGARCH R Package

This Repository Contains R-Codes executed on various Datasets in RStudio. I Hope This Repository is very helpful for those who are Willing to build their Career in Data Science, Big Data.

Fully Functional Point of Sale (POS) CLI system with sales, predictive and analytics tool. Written in pure C language

Jupyter Notebooks Collection for Learning Time Series Models

Package 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.

Python based Quant Finance Models, Tools and Algorithmic Decision Making

midasml package is dedicated to run predictive high-dimensional mixed data sampling models