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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