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.

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 🌀

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

Python based Quant Finance Models, Tools and Algorithmic Decision Making

The official code for "TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting (ICLR 2024)". TEMPO is one of the very first open source Time Series Foundation Models for forecasting task v1.0 version.

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

Runs streamflow forecasts using ECMWF predicted runoff and RAPID (Forked from: https://github.com/CI-WATER/erfp_data_process_ubuntu_aws).

ALGORITHM TRADING AND STOCK PREDICTION USING MACHINE LEARNING

Lisflood OS (Calibration tool)

spinesTS, a powerful toolset for time series prediction, is one of the cornerstones of PipelineTS.

Hierarchical Time Series Forecasting

Lisflood OS (LISVAP)

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

Official repo for the following paper: Traffic Forecasting on New Roads Unseen in the Training Data Using Spatial Contrastive Pre-Training (SCPT) (ECML PKDD DAMI '23)