PriorLabs/tabpfn-time-series

Chronos: Pretrained Models for Time Series Forecasting

Time series forecasting with PyTorch

[PVLDB 2024 Best Paper Nomination] TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods

Automated Time Series Forecasting

TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.

Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting

Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models

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

Scalable and user friendly neural 🧠 forecasting algorithms.