Foundational Model
Packages
Description
Paper
Time-LLM
Time-LLM is a reprogramming framework to repurpose LLMs for general time series forecasting with the backbone language models kept intact.
Paper Link
MOMENT
From CMU. A family of open-source foundation models for general-purpose time-series analysis.
Paper Link
TimesFM
From Google. A time-series foundation model for forecasting whose out-of-the-box zero-shot performance on a variety of public datasets comes close to the accuracy of state-of-the-art supervised forecasting models for each individual dataset.
Paper Link
Lag-Llama
A general-purpose foundation model for univariate probabilistic forecasting.
Paper Link
MOIRAI
From Salesforce. An encoder-only Transformer model, specialized in universal time-series forecasting.
Paper Link
TimeGPT
The authors claim it’s the first foundation model for time series forecasting.
Paper Link
Chronos
From Amazon. Chronos is a family of pretrained time series forecasting models based on language model architectures.
Paper Link