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@rapidsai

RAPIDS

Open GPU Data Science

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  1. cudf cudf Public

    cuDF - GPU DataFrame Library

    C++ 8.7k 928

  2. cuml cuml Public

    cuML - RAPIDS Machine Learning Library

    C++ 4.4k 551

  3. cugraph cugraph Public

    cuGraph - RAPIDS Graph Analytics Library

    Cuda 1.9k 313

  4. nx-cugraph nx-cugraph Public

    GPU Accelerated Backend for NetworkX

    Python 31 14

  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 831 199

  6. rmm rmm Public

    RAPIDS Memory Manager

    C++ 531 208

Repositories

Showing 10 of 130 repositories
  • legate-boost Public

    GBM implementation on Legate

    rapidsai/legate-boost’s past year of commit activity
    Python 9 Apache-2.0 8 12 4 Updated Feb 12, 2025
  • cuvs Public

    cuVS - a library for vector search and clustering on the GPU

    rapidsai/cuvs’s past year of commit activity
    Cuda 291 Apache-2.0 83 169 17 Updated Feb 12, 2025
  • cudf Public

    cuDF - GPU DataFrame Library

    rapidsai/cudf’s past year of commit activity
    C++ 8,667 Apache-2.0 928 965 (50 issues need help) 130 Updated Feb 12, 2025
  • cuml Public

    cuML - RAPIDS Machine Learning Library

    rapidsai/cuml’s past year of commit activity
    C++ 4,396 Apache-2.0 551 881 (1 issue needs help) 67 Updated Feb 12, 2025
  • rmm Public

    RAPIDS Memory Manager

    rapidsai/rmm’s past year of commit activity
    C++ 531 Apache-2.0 208 48 (3 issues need help) 12 Updated Feb 12, 2025
  • cugraph Public

    cuGraph - RAPIDS Graph Analytics Library

    rapidsai/cugraph’s past year of commit activity
    Cuda 1,857 Apache-2.0 313 151 19 Updated Feb 12, 2025
  • shared-actions Public
    rapidsai/shared-actions’s past year of commit activity
    Python 0 6 2 1 Updated Feb 12, 2025
  • 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 831 Apache-2.0 199 416 (2 issues need help) 13 Updated Feb 12, 2025
  • ucxx Public
    rapidsai/ucxx’s past year of commit activity
    C++ 24 BSD-3-Clause 31 33 (1 issue needs help) 13 Updated Feb 11, 2025
  • shared-workflows Public

    Reusable GitHub Actions workflows for RAPIDS CI

    rapidsai/shared-workflows’s past year of commit activity
    Shell 4 Apache-2.0 18 3 2 Updated Feb 11, 2025
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