google-research/timesfm

Foundation Models for Time Series

Chronos: Pretrained Models for Time Series Forecasting

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

MOMENT: A Family of Open Time-series Foundation Models, ICML'24

Scalable and user friendly neural 🧠 forecasting algorithms.

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

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 🚀.

Time series forecasting with PyTorch