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Pinned

  1. Techniques & resources for training interpretable ML models, explaining ML models, and debugging ML models.

    Jupyter Notebook 18 8

  2. Dimensionality reduction ("dimreduce") on GPUs ("4gpu")

    Cuda 2 1

  3. Exponential Smoothing & Moving Average Models in Java

    Java 20 9

  4. h2o3-pam Public

    Implementation of Partitioning Around Medoids (PAM) in H2O-3

    Java 1

  5. Estimating the number of clusters in a data set via the gap statistic. Implemented in H2O-3

    Java 1

  6. Implementation of the Robust Random Cut Forest algorithm for anomaly detection

    Python 1 1

2,526 contributions in the last year

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Contribution activity

August 2022

30 contributions in private repositories Aug 1 – Aug 5