Kuangnan Fang is a professor in department of statistics, Xiamen University. Research interest : Applied Statistics, Data mining, Machine learning.
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Xiamen University
- Xiamen, Fujian province, China
- http://www.kuangnanfang.com/?id=3
- https://github.com/orgs/XMU-Kuangnan-Fang-Team/repositories
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XMU-Kuangnan-Fang-Team/GENetLib
XMU-Kuangnan-Fang-Team/GENetLib PublicA Python library for Gene–environment interaction analysis via deep learning
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XMU-Kuangnan-Fang-Team/RDA
XMU-Kuangnan-Fang-Team/RDA PublicR package for the two books : R Data Analysis; R Data Mining and Machine learning.
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XMU-Kuangnan-Fang-Team/SpecificLDA
XMU-Kuangnan-Fang-Team/SpecificLDA PublicA Python package implementing the Directed LDA model for targeted extraction of specific topics from text data
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XMU-Kuangnan-Fang-Team/dSEIR
XMU-Kuangnan-Fang-Team/dSEIR Publicdynamic SEIR(Susceptible-Exposed-Infectious-Removed) model for epidemic
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XMU-Kuangnan-Fang-Team/BiFuncLib
XMU-Kuangnan-Fang-Team/BiFuncLib PublicBiFuncLib is a Python library for biclustering with functional data.
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