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@rapidsai

RAPIDS

Open GPU Data Science

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  1. cudf cudf Public

    cuDF - GPU DataFrame Library

    C++ 8.5k 914

  2. cuml cuml Public

    cuML - RAPIDS Machine Learning Library

    C++ 4.3k 539

  3. cugraph cugraph Public

    cuGraph - RAPIDS Graph Analytics Library

    Cuda 1.8k 309

  4. nx-cugraph nx-cugraph Public

    GPU Accelerated Backend for NetworkX

    Python 22 10

  5. raft raft Public

    RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing …

    Cuda 807 197

  6. rmm rmm Public

    RAPIDS Memory Manager

    C++ 500 200

Repositories

Showing 10 of 129 repositories
  • rapids-cmake Public
    rapidsai/rapids-cmake’s past year of commit activity
    CMake 30 Apache-2.0 47 22 (2 issues need help) 6 Updated Dec 24, 2024
  • cudf Public

    cuDF - GPU DataFrame Library

    rapidsai/cudf’s past year of commit activity
    C++ 8,546 Apache-2.0 914 958 (47 issues need help) 115 Updated Dec 24, 2024
  • cuspatial Public

    CUDA-accelerated GIS and spatiotemporal algorithms

    rapidsai/cuspatial’s past year of commit activity
    Jupyter Notebook 629 Apache-2.0 155 106 10 Updated Dec 23, 2024
  • legate-dataframe Public
    rapidsai/legate-dataframe’s past year of commit activity
    C++ 0 Apache-2.0 4 5 2 Updated Dec 23, 2024
  • rmm Public

    RAPIDS Memory Manager

    rapidsai/rmm’s past year of commit activity
    C++ 500 Apache-2.0 200 41 (3 issues need help) 8 Updated Dec 23, 2024
  • dask-cuda Public

    Utilities for Dask and CUDA interactions

    rapidsai/dask-cuda’s past year of commit activity
    Python 294 Apache-2.0 94 77 (1 issue needs help) 12 Updated Dec 23, 2024
  • cuml Public

    cuML - RAPIDS Machine Learning Library

    rapidsai/cuml’s past year of commit activity
    C++ 4,305 Apache-2.0 539 869 (1 issue needs help) 58 Updated Dec 23, 2024
  • raft Public

    RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing high performance applications.

    rapidsai/raft’s past year of commit activity
    Cuda 807 Apache-2.0 197 415 (2 issues need help) 16 Updated Dec 23, 2024
  • crossfit Public

    Metric calculation library

    rapidsai/crossfit’s past year of commit activity
    Python 3 Apache-2.0 7 9 7 Updated Dec 23, 2024
  • legate-raft Public
    rapidsai/legate-raft’s past year of commit activity
    Cuda 0 Apache-2.0 2 6 1 Updated Dec 23, 2024
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