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update README #152

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<div align="center">

# Unified Training of Universal Time Series Transformers

[![arXiv](https://img.shields.io/badge/Moirai-2402.02592-b31b1b.svg)](https://arxiv.org/abs/2402.02592)
[![arXiv](https://img.shields.io/badge/MoiraiMoE-2410.10469-b31b1b.svg)](https://arxiv.org/abs/2410.10469)
[![huggingface](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Models-FFD21E)](https://huggingface.co/collections/Salesforce/moirai-r-models-65c8d3a94c51428c300e0742)
[![huggingface](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Leaderboard-FFD21E)](https://huggingface.co/spaces/Salesforce/GIFT-Eval)
[![License: MIT](https://img.shields.io/badge/License-Apache--2.0-green.svg)](https://opensource.org/licenses/Apache-2.0)

</div>

Uni2TS is a PyTorch based library for research and applications related to Time Series Forecasting. It provides a unified framework for large-scale pre-training, fine-tuning, inference, and evaluation of Universal Time Series Transformers.

Related reading: [Moirai Paper](https://arxiv.org/abs/2402.02592), [Moirai Salesforce Blog](https://blog.salesforceairesearch.com/moirai/), [Moirai-MoE Paper](https://arxiv.org/abs/2410.10469), [Moirai-MoE Salesforce Blog](https://www.salesforce.com/blog/time-series-morai-moe/), [Moirai-MoE AI Horizon Forecast Blog](https://aihorizonforecast.substack.com/p/moirai-moe-upgrading-moirai-with), [Moirai-MoE Jiqizhixin Blog](https://mp.weixin.qq.com/s/LQvlgxx9vU965Yzy6RuBfQ).

## 🎉 What's New

* Nov 2024: The first general time series forecasting benchmark [GIFT-Eval](https://github.com/SalesforceAIResearch/gift-eval) is released. Moirai-Large achieves the best performance in the [Leaderboard](https://huggingface.co/spaces/Salesforce/GIFT-Eval)!
* Nov 2024: The first general time series forecasting benchmark [GIFT-Eval](https://github.com/SalesforceAIResearch/gift-eval) is released. [Leaderboard](https://huggingface.co/spaces/Salesforce/GIFT-Eval) is available and please try your model on it!

* Oct 2024: A new model Moirai-MoE! The preprint is available on [arXiv](https://arxiv.org/abs/2410.10469), along with the model weights of [Moirai-MoE-Small](https://huggingface.co/Salesforce/moirai-moe-1.0-R-small) and [Moirai-MoE-Base](https://huggingface.co/Salesforce/moirai-moe-1.0-R-base). Getting started with [inference code](https://github.com/SalesforceAIResearch/uni2ts/tree/main/project/moirai-moe-1) and [notebook examples](https://github.com/SalesforceAIResearch/uni2ts/tree/main/example)!

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