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Achievement: StarstruckAchievement: Pull Sharkx4Achievement: Public SponsorAchievement: Pair Extraordinairex3Achievement: QuickdrawAchievement: YOLOAchievement: Arctic Code Vault Contributor

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  1. dmlc/xgboost Public

    Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

    C++ 26.8k 8.8k

  2. xgboost-devops Public

    DevOps / Continuous Integration tools for XGBoost project

    Python 3

  3. website Public

    https://hyunsu-cho.io

    HTML 4

972 contributions in the last year

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Activity overview

Contributed to dmlc/xgboost, hcho3/xgboost-ci-ng, conda-forge/xgboost-feedstock and 113 other repositories
Loading A graph representing hcho3's contributions from April 14, 2024 to April 18, 2025. The contributions are 47% commits, 25% code review, 23% pull requests, 5% issues.

Contribution activity

April 2025

Created 13 commits in 4 repositories

Created a pull request in rapidsai/cuml that received 8 comments

Mark XGBoost tests as XFAIL

Same as #6515, but for the 25.04 branch.

+26 −0 lines changed • 8 comments
Opened 11 other pull requests in 5 repositories
Reviewed 11 pull requests in 4 repositories

Created an issue in dmlc/xgboost-devops that received 1 comment

[Discussion] How to manage Conda environments

Currently, there are three places where Conda environments are specified: Environment files in https://github.com/dmlc/xgboost-devops/tree/main/co…

1 comment
Opened 2 other issues in 2 repositories
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