Time Series Orchestra (TSorchestra) is a novel ensemble framework designed for zero-shot time series forecasting. It is built upon a curated collection of time series foundation models. The architecture is designed to leverage the specialized capabilities of its constituent models to deliver SOTA performance and generalization across datasets.

The official code for "TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting (ICLR 2024)". TEMPO is one of the very first open source Time Series Foundation Models for forecasting task v1.0 version.