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Being busy, sorry for the late response.
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Being busy, sorry for the late response.

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guolinke/README.md

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  1. A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning …

    C++ 12.2k 3.2k

  2. Implementation for the paper "DeepGBM: A Deep Learning Framework Distilled by GBDT for Online Prediction Tasks", which has been accepted by KDD'2019.

    Python 525 110

  3. Transformer with Untied Positional Encoding (TUPE). Code of paper "Rethinking Positional Encoding in Language Pre-training". Improve existing models like BERT.

    Python 136 12

691 contributions in the last year

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Activity overview
Contributed to microsoft/LightGBM, guolinke/pytorch-docker, guolinke/TUPE and 5 other repositories