Top 103 forecasting open source projects

Dual-Stage Attention-Based Recurrent Neural Net for Time Series Prediction

Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series

Modeltime unlocks time series forecast models and machine learning in one framework

Supplychainpy is a Python library for supply chain analysis, modelling and simulation. The library assists a workflow that is reliant on Excel and VBA.

Introduction to time series preprocessing and forecasting in Python using AR, MA, ARMA, ARIMA, SARIMA and Prophet model with forecast evaluation.

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

Extensive and accessible COVID-19 data + forecasting for counties and hospitals. 📈

Time series analysis in Java

Programs for stock prediction and evaluation

An open source library for Fuzzy Time Series in Python

Probabilistic time series modeling in Python

Time Series Forecasting Best Practices & Examples

Wayeb is a Complex Event Processing and Forecasting (CEP/F) engine written in Scala.

Data Science algorithms for Qlik implemented as a Python Server Side Extension (SSE).

The Predictive Ecosystem Analyzer (PEcAn) is an integrated ecological bioinformatics toolbox.

StateSpaceModels.jl is a Julia package for time-series analysis using state-space models.

Deep learning for forecasting company fundamental data

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

A Python library for integrating model-based and judgmental forecasting

A Python library for time series forecasting

NeuralProphet - A simple forecasting model based on Neural Networks in PyTorch

MSGARCH R Package

All data sets required for the examples and exercises in the book "Forecasting: principles and practice" (3rd ed, 2020) by Rob J Hyndman and George Athanasopoulos <http://OTexts.org/fpp3/>. All packages required to run the examples are also loaded.

Time series forecasting with PyTorch

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

Pyncov-19: Learn and predict the spread of COVID-19

forecast package for R

The GitHub repository for the paper "Informer" accepted by AAAI 2021.

A python library for easy manipulation and forecasting of time series.

Stock Price Prediction using Machine Learning Techniques

ARCH models in Python

Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas

Kaggle | Web Traffic Forecasting 📈

Non-Intrusive Load Monitoring Toolkit (nilmtk)

Tidy time series forecasting

A unified framework for machine learning with time series

A collection of awesome projects, blog posts, books, and talks on quantifying risk

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

A toolkit for working with time series in R

A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.

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

Luminaire is a python package that provides ML driven solutions for monitoring time series data.

PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.

Tools for time series analysis and forecasting

PyTorch GPU implementation of the ES-RNN model for time series forecasting

A bookkeeping & financial analysis engine for the Django Framework. UNDER ACTIVE DEVELOPMENT & NOT STABLE YET.

Applying Facebook's prophet on Google Analytics data

Merlion: A Machine Learning Framework for Time Series Intelligence

Data-driven COVID-19 forecasts and detection of unreported cases

Calculates various features from time series data. Python implementation of the R package tsfeatures.

demography package for R

This repository contains the implementations related to the experiments of a set of publicly available datasets that are used in the time series forecasting research space.

📈 high level wrapper for parallel univariate time series forecasting 📉

📈 PyTorch dual-attention LSTM-autoencoder for multivariate Time Series 📈

foot是一个集足球数据采集器,简单分析的项目.AI足球球探为程序全自动处理,全程无人为参与干预足球分析足球预测程序.程序根据各大指数多维度数据,结合作者多年足球分析经验,精雕细琢,集天地之灵气,汲日月之精华,历时七七四十九天,经Bug九九八十一个,编码而成.有兴趣的朋友,可以关注一下公众号AI球探(微信号ai00268).

GPU-Accelerated Deep Learning for Time Series using Modeltime GluonTS (Learning Lab 53). Event sponsors: Saturn Cloud, NVIDIA, & Business Science.

CentOS based Docker container for Time Series Analysis and Modeling.

Recurrent GAN for imputation of time series data. Implemented in TensorFlow 2 on Wikipedia Web Traffic Forecast dataset from Kaggle.

This Project gives you an overall idea for Forecasting Mutual Funds

Official Python/PyTorch Implementation for "All-In-One Drive: A Large-Scale Comprehensive Perception Dataset with High-Density Long-Range Point Clouds"