Lag-Llama is the first open-source foundation model for time series forecasting!
Tweet Thread: https://twitter.com/arjunashok37/status/1755261111233114165
HuggingFace: https://huggingface.co/time-series-foundation-models/Lag-Llama
Colab Demo: https://colab.research.google.com/drive/13HHKYL_HflHBKxDWycXgIUAHSeHRR5eo?usp=sharing
GitHub: https://github.com/time-series-foundation-models/lag-llama
Paper: https://time-series-foundation-models.github.io/lag-llama.pdf
arXiv has a previous outdated version of the paper and is still being updated with the latest version; please use the above link to access the latest version.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:
💫 Zero-shot forecasting on a dataset of any frequency for any prediction length, using the Colab Demo.
Coming Soon:
⭐ An online gradio demo where you can upload time series and get zero-shot predictions.
⭐ Features for finetuning the foundation model
⭐ Features for pretraining Lag-Llama on your own large-scale data
⭐ Scripts to reproduce all results in the paper.
Stay Tuned!🦙