forecasting

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

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

Statsmodels: statistical modeling and econometrics in Python

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

A unified framework for machine learning with time series

A python library for user-friendly forecasting and anomaly detection on time series.

AutoGluon: AutoML for Image, Text, Time Series, and Tabular Data

Probabilistic time series modeling in Python

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

Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

Merlion: A Machine Learning Framework for Time Series Intelligence

NeuralProphet: A simple forecasting package

Time series forecasting with PyTorch

Time Series Forecasting Best Practices & Examples

Lightning ⚡️ fast forecasting with statistical and econometric models.

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

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

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

Scalable and user friendly neural 🧠 forecasting algorithms.

ARCH models in Python