README.md

metadata

license: apache-2.0
tags:
  - time series
  - forecasting
  - pretrained models
  - foundation models
  - time series foundation models

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

Lag-Llama is the first open-source foundation model for time series forecasting!

Twitter Thread: https://twitter.com.

HuggingFace: {}

Colab Demo: {}

Paper: {Not arxiv}.

arXiv has a previous outdated version of the paper and is still being updated with the latest version; please use the above link to access the latest version.

This repository houses the Lag-Llama architecture.

Current Features:

1. Zero-shot forecasting on a dataset of any frequency for any prediction length, using the Colab Demo.

Coming Soon:

1. An online gradio demo to upload time series and get zero-shot predictions for
2. Features for finetuning the foundation model
3. Features for pretraining Lag-Llama on your own large-scale data
4. Scripts to reproduce all results in the paper.