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@rapidsai

RAPIDS

Open GPU Data Science

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  1. cudf cudf Public

    cuDF - GPU DataFrame Library

    C++ 9.6k 1k

  2. cuml cuml Public

    cuML - RAPIDS Machine Learning Library

    C++ 5.2k 618

  3. cugraph cugraph Public

    cuGraph - RAPIDS Graph Analytics Library

    Cuda 2.2k 346

  4. nx-cugraph nx-cugraph Public

    GPU Accelerated Backend for NetworkX

    Jupyter Notebook 95 29

  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 990 227

  6. rmm rmm Public

    RAPIDS Memory Manager

    C++ 686 247

Repositories

Showing 10 of 138 repositories
  • cuvs Public

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

    rapidsai/cuvs’s past year of commit activity
    Cuda 714 Apache-2.0 175 421 96 Updated Mar 26, 2026
  • cudf Public

    cuDF - GPU DataFrame Library

    rapidsai/cudf’s past year of commit activity
    C++ 9,589 Apache-2.0 1,033 1,086 (51 issues need help) 140 Updated Mar 26, 2026
  • cugraph Public

    cuGraph - RAPIDS Graph Analytics Library

    rapidsai/cugraph’s past year of commit activity
    Cuda 2,150 Apache-2.0 346 116 13 Updated Mar 26, 2026
  • velox-testing Public
    rapidsai/velox-testing’s past year of commit activity
    Shell 9 Apache-2.0 17 27 39 Updated Mar 26, 2026
  • rapidsmpf Public
    rapidsai/rapidsmpf’s past year of commit activity
    C++ 25 Apache-2.0 30 34 31 Updated Mar 25, 2026
  • rmm Public

    RAPIDS Memory Manager

    rapidsai/rmm’s past year of commit activity
    C++ 686 Apache-2.0 247 69 (2 issues need help) 18 Updated Mar 25, 2026
  • cugraph-gnn Public
    rapidsai/cugraph-gnn’s past year of commit activity
    Cuda 67 Apache-2.0 36 32 8 Updated Mar 25, 2026
  • rapids-cmake Public
    rapidsai/rapids-cmake’s past year of commit activity
    CMake 44 Apache-2.0 66 24 (2 issues need help) 7 Updated Mar 25, 2026
  • 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 990 Apache-2.0 227 427 (2 issues need help) 8 Updated Mar 25, 2026
  • cuml Public

    cuML - RAPIDS Machine Learning Library

    rapidsai/cuml’s past year of commit activity
    C++ 5,157 Apache-2.0 618 803 (13 issues need help) 45 Updated Mar 25, 2026
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