forecasting-models

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

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

A toolkit for working with time series in R

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

An open source library for Fuzzy Time Series in Python

Extending broom for time series forecasting

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

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

MSGARCH R Package

Real-time time series prediction library with standalone server

Python based Quant Finance Models, Tools and Algorithmic Decision Making

Jupyter Notebooks Collection for Learning Time Series Models

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

The repository provides an in-depth analysis and forecast of a time series dataset as an example and summarizes the mathematical concepts required to have a deeper understanding of Holt-Winter's model. It also contains the implementation and analysis to time series anomaly detection using brutlag algorithm.

Predictive algorithm for forecasting the mexican stock exchange. Machine Learning approach to forecast price and Indicator behaviours of MACD, Bollinger and SuperTrend strategy

Personal Financial Forecasting Model

Automatic forecasting and Bayesian modeling for time series with Stan

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

Forecasting Monthly Sales of French Champagne - Perrin Freres

ALGORITHM TRADING AND STOCK PREDICTION USING MACHINE LEARNING

COVID-19 Growth Forecast

Finite-Interval Forecasting Engine: Machine learning models for discrete-time survival analysis and multivariate time series forecasting

Hydrology and Climate Forecasting R package

Feature engineering and machine learning: together at last!

Prediction of Soybean stock prices using LSTM with data from CBOT Soybean Futures + (2015 USA Weather Avg, Max, Min by USDA-NASS-soybeans-production_bushels-2015)

Code accompanying the Anatolyev, S. and Baruník, J., (2019). Forecasting dynamic return distributions based on ordered binary choice. International Journal of Forecasting, 35(3), pp.823-835

How to Make Out-of-Sample Forecasts with ARIMA in Python

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

[Sklearn] [Python] [SQL] Machine Learning project - forecasting company sales finish with pipeline data

Beer national sales forecasting