#forecasting

Scalable and user friendly neural :brain: forecasting algorithms.

Lightning ⚡️ fast forecasting with statistical and econometric models.

Fast and Accurate ML in 3 Lines of Code

A unified framework for machine learning with time series

Scalable machine 🤖 learning for time series forecasting.

TimeGPT-2.1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code 🚀.

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

Automated Machine Learning pipelines. Builds the Open Short Term Energy Forecasting package.

Time series forecasting with PyTorch

Statsmodels: statistical modeling and econometrics in Python

Helper functions to plot, evaluate, preprocess and engineer features for forecasting

Probabilistic time series modeling in Python

Datasets for time series forecasting

Chronos: Pretrained Models for Time Series Forecasting