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@rapidsai

RAPIDS

Open GPU Data Science

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  1. cudf cudf Public

    cuDF - GPU DataFrame Library

    C++ 8.9k 944

  2. cuml cuml Public

    cuML - RAPIDS Machine Learning Library

    C++ 4.7k 569

  3. cugraph cugraph Public

    cuGraph - RAPIDS Graph Analytics Library

    Cuda 2k 327

  4. nx-cugraph nx-cugraph Public

    GPU Accelerated Backend for NetworkX

    Python 56 19

  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 877 204

  6. rmm rmm Public

    RAPIDS Memory Manager

    C++ 575 216

Repositories

Showing 10 of 132 repositories
  • cudf Public

    cuDF - GPU DataFrame Library

    rapidsai/cudf’s past year of commit activity
    C++ 8,901 Apache-2.0 944 974 (52 issues need help) 132 Updated May 5, 2025
  • ops-bot Public

    A Probot application used by the Ops team for automation.

    rapidsai/ops-bot’s past year of commit activity
    TypeScript 7 Apache-2.0 7 3 11 Updated May 5, 2025
  • nx-cugraph Public

    GPU Accelerated Backend for NetworkX

    rapidsai/nx-cugraph’s past year of commit activity
    Python 56 Apache-2.0 19 9 6 Updated May 5, 2025
  • rapidsmpf Public
    rapidsai/rapidsmpf’s past year of commit activity
    C++ 8 Apache-2.0 7 40 5 Updated May 5, 2025
  • dask-cuda Public

    Utilities for Dask and CUDA interactions

    rapidsai/dask-cuda’s past year of commit activity
    Python 305 Apache-2.0 97 76 (1 issue needs help) 10 Updated May 5, 2025
  • cuml Public

    cuML - RAPIDS Machine Learning Library

    rapidsai/cuml’s past year of commit activity
    C++ 4,685 Apache-2.0 569 914 (1 issue needs help) 77 Updated May 5, 2025
  • cuvs Public

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

    rapidsai/cuvs’s past year of commit activity
    Cuda 391 Apache-2.0 100 231 39 Updated May 5, 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 877 Apache-2.0 204 419 (2 issues need help) 13 Updated May 5, 2025
  • cugraph-gnn Public
    rapidsai/cugraph-gnn’s past year of commit activity
    Cuda 31 Apache-2.0 25 21 2 Updated May 5, 2025
  • ucx-py Public

    Python bindings for UCX

    rapidsai/ucx-py’s past year of commit activity
    Python 134 BSD-3-Clause 64 57 16 Updated May 5, 2025