Time Series Forecasting
TiRex
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@@ -9,28 +9,11 @@ license_link: https://huggingface.co/NX-AI/TiRex/blob/main/LICENSE
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  license_name: nx-ai-community-license
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  ---
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- <div align="center">
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- # TiRex: Zero-Shot Forecasting across Long and Short Horizons
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- [![Paper](https://img.shields.io/static/v1?label=Paper&message=2505.23719&color=B31B1B&logo=arXiv)](https://arxiv.org/abs/2505.23719)
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- [![Hugging Face](https://img.shields.io/badge/HuggingFace-TiRex-yellow?logo=huggingface)](https://huggingface.co/NX-AI/TiRex)
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- [![PyPI](https://img.shields.io/pypi/v/tirex-ts?color=blue)](https://pypi.org/project/tirex-ts/)
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- [![PyPI Downloads](https://static.pepy.tech/personalized-badge/tirex-ts?period=total&units=INTERNATIONAL_SYSTEM&left_color=GREY&right_color=BLUE&left_text=downloads)](https://pepy.tech/projects/tirex-ts)
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- [![License](https://img.shields.io/badge/license-nxai_community-green)](https://github.com/NX-AI/tirex-internal/blob/main/LICENSE)
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- [![docs](https://img.shields.io/website-up-down-green-red/http/nx-ai.github.io/tirex//.svg?label=docs)](https://nx-ai.github.io/tirex/)
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- [![pre-commit](https://img.shields.io/badge/pre--commit-enabled-brightgreen?logo=pre-commit)](https://github.com/pre-commit/pre-commit)
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- [![formatter: docformatter](https://img.shields.io/badge/formatter-docformatter-fedcba.svg)](https://github.com/PyCQA/docformatter)
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- </div>
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  This repository provides the pre-trained forecasting model TiRex introduced in the paper
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  [TiRex: Zero-Shot Forecasting across Long and Short Horizons with Enhanced In-Context Learning](https://arxiv.org/abs/2505.23719).
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- ## TiRex Model
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  TiRex is a 35M parameter pre-trained time series forecasting model based on [xLSTM](https://github.com/NX-AI/xlstm).
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  ### Key Facts:
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  We provide notebooks to run the benchmarks: [GiftEval](./examples/gifteval/gifteval.ipynb) and [Chronos-ZS](./examples/chronos_zs/chronos_zs.ipynb).
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  ## TiRex Classification Model
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- [![Paper](https://img.shields.io/static/v1?label=Paper&message=2510.26777&color=B31B1B&logo=arXiv)](http://arxiv.org/abs/2510.26777)
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  For detailed instructions on using TiRex classification model please visit our [documentation page](https://nx-ai.github.io/tirex/how-to/classification/) and [quick start Notebook](./examples/quick_start_tirex_classification.ipynb).
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  ## TiRex Docker image
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  For detailed instructions on building and running TiRex in a Docker container, see the [Docker README](./inference/README.md) or our [deployment documentation](https://nx-ai.github.io/tirex/deployment).
 
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  license_name: nx-ai-community-license
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  ---
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+ # TiRex
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  This repository provides the pre-trained forecasting model TiRex introduced in the paper
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  [TiRex: Zero-Shot Forecasting across Long and Short Horizons with Enhanced In-Context Learning](https://arxiv.org/abs/2505.23719).
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  TiRex is a 35M parameter pre-trained time series forecasting model based on [xLSTM](https://github.com/NX-AI/xlstm).
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  ### Key Facts:
 
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  We provide notebooks to run the benchmarks: [GiftEval](./examples/gifteval/gifteval.ipynb) and [Chronos-ZS](./examples/chronos_zs/chronos_zs.ipynb).
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  ## TiRex Classification Model
 
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  For detailed instructions on using TiRex classification model please visit our [documentation page](https://nx-ai.github.io/tirex/how-to/classification/) and [quick start Notebook](./examples/quick_start_tirex_classification.ipynb).
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+ Paper: [Pre-trained Forecasting Models: Strong Zero-Shot Feature Extractors for Time Series Classification](http://arxiv.org/abs/2510.26777)
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  ## TiRex Docker image
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  For detailed instructions on building and running TiRex in a Docker container, see the [Docker README](./inference/README.md) or our [deployment documentation](https://nx-ai.github.io/tirex/deployment).