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Achievements

Achievement: Pair ExtraordinaireAchievement: Pull Sharkx2

Achievements

Achievement: Pair ExtraordinaireAchievement: Pull Sharkx2

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  1. NVIDIA/spark-rapids-ml Public

    Spark RAPIDS MLlib – accelerate Apache Spark MLlib with GPUs

    Jupyter Notebook 76 32

  2. NVIDIA/spark-rapids-examples Public

    A repo for all spark examples using Rapids Accelerator including ETL, ML/DL, etc.

    Jupyter Notebook 148 55

  3. NVIDIA/spark-rapids Public

    Spark RAPIDS plugin - accelerate Apache Spark with GPUs

    Scala 885 244

  4. rapidsai/cuml Public

    cuML - RAPIDS Machine Learning Library

    C++ 4.7k 567

  5. DepthCheck Public

    A deep learning framework to assess squat depth from videos.

    Python 2 1

  6. GenerateEEG Public

    Two Conditional GAN frameworks to perform synthetic EEG generation for dataset augmentation.

    Jupyter Notebook 6

266 contributions in the last year

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Activity overview

Contributed to NVIDIA/spark-rapids-ml, rishic3/rishic3.github.io, NVIDIA/spark-rapids-examples and 23 other repositories
Loading A graph representing rishic3's contributions from April 21, 2024 to April 21, 2025. The contributions are 66% commits, 19% pull requests, 12% code review, 3% issues.

Contribution activity

April 2025

Created 9 commits in 3 repositories
Created 1 repository

Created a pull request in NVIDIA/spark-rapids-ml that received 7 comments

Fix UMAP test for sparse data w/Hellinger distance

Addresses #879. Fix mismatch in normalization for data provided to UMAP under hellinger metric. Normalization will change the order of data/indices…

+31 −24 lines changed • 7 comments
Reviewed 4 pull requests in 2 repositories
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