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Merge pull request #750 from WenjieDu/dev
Add forecasting FiLM, DLinear, MICN, and release v0.19
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‎README.md‎

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<a href="https://github.com/WenjieDu/PyPOTS">
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<img src="https://pypots.com/figs/pypots_logos/PyPOTS/logo_FFBG.svg" width="200" align="right">
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<img src="https://pypots.com/figs/pypots_logos/PyPOTS/logo_FFBG.svg" width="210" align="right">
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</a>
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<h3 align="center">Welcome to PyPOTS</h3>
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<p align="center">
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<a href="https://docs.pypots.com/en/latest/install.html#reasons-of-version-limitations-on-dependencies">
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<img alt="Python version" src="https://img.shields.io/badge/Python-v3.8+-E97040?logo=python&logoColor=white">
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<img alt="Python version" src="https://img.shields.io/badge/Python-v3.8+-F8C6B5?logo=python&logoColor=white">
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</a>
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<a href="https://www.google.com/search?q=%22PyPOTS%22+site%3Apytorch.org">
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<img alt="powered by Pytorch" src="https://img.shields.io/badge/PyTorch-%E2%9D%A4%EF%B8%8F-F8C6B5?logo=pytorch&logoColor=white">
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</a>
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<a href="https://github.com/WenjieDu/PyPOTS/releases">
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<img alt="the latest release version" src="https://img.shields.io/github/v/release/wenjiedu/pypots?color=EE781F&include_prereleases&label=Release&logo=github&logoColor=white">
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<a href="https://landscape.pytorch.org/?item=modeling--specialized--pypots">
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<img alt="Pytorch landscape" src="https://img.shields.io/badge/PyTorch%20Landscape-EE4C2C?logo=pytorch&logoColor=white">
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</a>
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<a href="https://github.com/WenjieDu/PyPOTS/blob/main/LICENSE">
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<img alt="BSD-3 license" src="https://img.shields.io/badge/License-BSD--3-E9BB41?logo=opensourceinitiative&logoColor=white">
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<a href="https://github.com/WenjieDu/PyPOTS#-community">
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<img alt="Community" src="https://img.shields.io/badge/join_us-community!-C8A062">
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</a>
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<a href="https://github.com/WenjieDu/PyPOTS/releases">
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<img alt="the latest release version" src="https://img.shields.io/github/v/release/wenjiedu/pypots?color=EE781F&include_prereleases&label=Release&logo=github&logoColor=white">
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</a>
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<a href="https://github.com/WenjieDu/PyPOTS/graphs/contributors">
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<img alt="GitHub contributors" src="https://img.shields.io/github/contributors/wenjiedu/pypots?color=D8E699&label=Contributors&logo=GitHub">
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</a>
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| Neural Net | TimesNet[^14] | ✅ | ✅ | ✅ | | ✅ | `2023 - ICLR` |
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| Neural Net | PatchTST🧑‍🔧[^18] | ✅ | | | | ✅ | `2023 - ICLR` |
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| Neural Net | ETSformer🧑‍🔧[^19] | ✅ | | | | ✅ | `2023 - ICLR` |
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| Neural Net | MICN🧑‍🔧[^27] | ✅ | | | | | `2023 - ICLR` |
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| Neural Net | DLinear🧑‍🔧[^17] | ✅ | | | | ✅ | `2023 - AAAI` |
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| Neural Net | MICN🧑‍🔧[^27] | ✅ | ✅ | | | | `2023 - ICLR` |
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| Neural Net | DLinear🧑‍🔧[^17] | ✅ | ✅ | | | ✅ | `2023 - AAAI` |
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| Neural Net | TiDE🧑‍🔧[^28] | ✅ | | | | | `2023 - TMLR` |
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| Neural Net | CSAI[^42] | ✅ | | ✅ | | | `2023 - arXiv` |
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| Neural Net | SegRNN🧑‍🔧[^43] | ✅ | ✅ | | | ✅ | `2023 - arXiv` |
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| Neural Net | TS2Vec[^48] | | | ✅ | | | `2022 - AAAI` |
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| Neural Net | SCINet🧑‍🔧[^30] | ✅ | | | | ✅ | `2022 - NeurIPS` |
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| Neural Net | Nonstationary Tr.🧑‍🔧[^25] | ✅ | | | | ✅ | `2022 - NeurIPS` |
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| Neural Net | FiLM🧑‍🔧[^22] | ✅ | | | | ✅ | `2022 - NeurIPS` |
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| Neural Net | FiLM🧑‍🔧[^22] | ✅ | ✅ | | | ✅ | `2022 - NeurIPS` |
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| Neural Net | RevIN_SCINet🧑‍🔧[^31] | ✅ | | | | | `2022 - ICLR` |
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| Neural Net | Pyraformer🧑‍🔧[^26] | ✅ | | | | ✅ | `2022 - ICLR` |
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| Neural Net | Raindrop[^5] | | | ✅ | | | `2022 - ICLR` |
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The paper introducing PyPOTS is available [on arXiv](https://arxiv.org/abs/2305.18811),
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and a short version of it is accepted by the 9th SIGKDD international workshop on Mining and Learning from Time
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Series ([MiLeTS'23](https://kdd-milets.github.io/milets2023/))).
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**Additionally**, PyPOTS has been included as a [PyTorch Ecosystem](https://pytorch.org/ecosystem/) project.
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**Additionally**, PyPOTS has been included as a [PyTorch Ecosystem](https://landscape.pytorch.org/?item=modeling--specialized--pypots) project.
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We are pursuing to publish it in prestigious academic venues, e.g. JMLR (track for
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[Machine Learning Open Source Software](https://www.jmlr.org/mloss/)). If you use PyPOTS in your work,
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please cite it as below and 🌟star this repository to make others notice this library. 🤗

‎README_zh.md‎

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<a href="https://github.com/WenjieDu/PyPOTS">
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<img src="https://pypots.com/figs/pypots_logos/PyPOTS/logo_FFBG.svg" width="200" align="right">
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<img src="https://pypots.com/figs/pypots_logos/PyPOTS/logo_FFBG.svg" width="210" align="right">
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</a>
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<h3 align="center">欢迎来到PyPOTS</h3>
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<p align="center">
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<a href="https://docs.pypots.com/en/latest/install.html#reasons-of-version-limitations-on-dependencies">
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<img alt="Python version" src="https://img.shields.io/badge/Python-v3.8+-E97040?logo=python&logoColor=white">
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<img alt="Python version" src="https://img.shields.io/badge/Python-v3.8+-F8C6B5?logo=python&logoColor=white">
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</a>
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<a href="https://www.google.com/search?q=%22PyPOTS%22+site%3Apytorch.org">
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<img alt="powered by Pytorch" src="https://img.shields.io/badge/PyTorch-%E2%9D%A4%EF%B8%8F-F8C6B5?logo=pytorch&logoColor=white">
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</a>
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<a href="https://github.com/WenjieDu/PyPOTS/releases">
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<img alt="the latest release version" src="https://img.shields.io/github/v/release/wenjiedu/pypots?color=EE781F&include_prereleases&label=Release&logo=github&logoColor=white">
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<a href="https://landscape.pytorch.org/?item=modeling--specialized--pypots">
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<img alt="Pytorch landscape" src="https://img.shields.io/badge/PyTorch%20Landscape-EE4C2C?logo=pytorch&logoColor=white">
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</a>
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<a href="https://github.com/WenjieDu/PyPOTS/blob/main/LICENSE">
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<img alt="BSD-3 license" src="https://img.shields.io/badge/License-BSD--3-E9BB41?logo=opensourceinitiative&logoColor=white">
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<a href="https://github.com/WenjieDu/PyPOTS#-community">
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<img alt="Community" src="https://img.shields.io/badge/join_us-community!-C8A062">
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</a>
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<a href="https://github.com/WenjieDu/PyPOTS/releases">
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<img alt="the latest release version" src="https://img.shields.io/github/v/release/wenjiedu/pypots?color=EE781F&include_prereleases&label=Release&logo=github&logoColor=white">
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</a>
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<a href="https://github.com/WenjieDu/PyPOTS/graphs/contributors">
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<img alt="GitHub contributors" src="https://img.shields.io/github/contributors/wenjiedu/pypots?color=D8E699&label=Contributors&logo=GitHub">
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</a>
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</a>
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</p>
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⦿ `开发背景`: 由于传感器故障、通信异常以及不可预见的未知原因, 在现实环境中收集的时间序列数据普遍存在缺失值,
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这使得部分观测时间序列(partially-observed time series, 简称为POTS)成为现实世界数据的建模中普遍存在的问题.
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数据缺失会严重阻碍数据的高级分析、建模、与后续应用, 所以如何直接面向POTS建模成为一个亟需解决的问题.
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| Neural Net | TimesNet[^14] | ✅ | ✅ | ✅ | | ✅ | `2023 - ICLR` |
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| Neural Net | PatchTST🧑‍🔧[^18] | ✅ | | | | ✅ | `2023 - ICLR` |
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| Neural Net | ETSformer🧑‍🔧[^19] | ✅ | | | | ✅ | `2023 - ICLR` |
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| Neural Net | MICN🧑‍🔧[^27] | ✅ | | | | | `2023 - ICLR` |
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| Neural Net | DLinear🧑‍🔧[^17] | ✅ | | | | ✅ | `2023 - AAAI` |
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| Neural Net | MICN🧑‍🔧[^27] | ✅ | ✅ | | | | `2023 - ICLR` |
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| Neural Net | DLinear🧑‍🔧[^17] | ✅ | ✅ | | | ✅ | `2023 - AAAI` |
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| Neural Net | TiDE🧑‍🔧[^28] | ✅ | | | | | `2023 - TMLR` |
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| Neural Net | CSAI[^42] | ✅ | | ✅ | | | `2023 - arXiv` |
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| Neural Net | SegRNN🧑‍🔧[^43] | ✅ | ✅ | | | ✅ | `2023 - arXiv` |
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| Neural Net | TS2Vec[^48] | | | ✅ | | | `2022 - AAAI` |
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| Neural Net | SCINet🧑‍🔧[^30] | ✅ | | | | ✅ | `2022 - NeurIPS` |
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| Neural Net | Nonstationary Tr.🧑‍🔧[^25] | ✅ | | | | ✅ | `2022 - NeurIPS` |
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| Neural Net | FiLM🧑‍🔧[^22] | ✅ | | | | ✅ | `2022 - NeurIPS` |
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| Neural Net | FiLM🧑‍🔧[^22] | ✅ | ✅ | | | ✅ | `2022 - NeurIPS` |
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| Neural Net | RevIN_SCINet🧑‍🔧[^31] | ✅ | | | | | `2022 - ICLR` |
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| Neural Net | Pyraformer🧑‍🔧[^26] | ✅ | | | | ✅ | `2022 - ICLR` |
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| Neural Net | Raindrop[^5] | | | ✅ | | | `2022 - ICLR` |
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PyPOTS的论文可以[在arXiv上获取](https://arxiv.org/abs/2305.18811), 其5页的短版论文已被第9届SIGKDD international workshop
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on Mining and Learning from Time Series ([MiLeTS'23](https://kdd-milets.github.io/milets2023/))收录, 与此同时,
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PyPOTS也已被纳入[PyTorch Ecosystem](https://pytorch.org/ecosystem/). 我们正在努力将其发表在更具影响力的学术刊物上,
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PyPOTS也已被纳入[PyTorch Ecosystem](https://landscape.pytorch.org/?item=modeling--specialized--pypots). 我们正在努力将其发表在更具影响力的学术刊物上,
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如JMLR (track for [Machine Learning Open Source Software](https://www.jmlr.org/mloss/)).
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如果你在工作中使用了PyPOTS, 请按照以下格式引用我们的论文并为将项目设为星标🌟, 以便让更多人关注到它, 对此我们深表感谢🤗.
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