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@rapidsai

RAPIDS

Open GPU Data Science

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  1. cudf cudf Public

    cuDF - GPU DataFrame Library

    C++ 8.6k 920

  2. cuml cuml Public

    cuML - RAPIDS Machine Learning Library

    C++ 4.4k 546

  3. cugraph cugraph Public

    cuGraph - RAPIDS Graph Analytics Library

    Cuda 1.8k 310

  4. nx-cugraph nx-cugraph Public

    GPU Accelerated Backend for NetworkX

    Python 23 12

  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 822 197

  6. rmm rmm Public

    RAPIDS Memory Manager

    C++ 525 204

Repositories

Showing 10 of 130 repositories
  • cugraph-docs Public

    cuGraph Docs - RAPIDS Graph Analytics Documentation

    rapidsai/cugraph-docs’s past year of commit activity
    Shell 1 Apache-2.0 4 38 3 Updated Jan 22, 2025
  • dask-cuda Public

    Utilities for Dask and CUDA interactions

    rapidsai/dask-cuda’s past year of commit activity
    Python 296 Apache-2.0 94 74 (1 issue needs help) 12 Updated Jan 22, 2025
  • cuvs Public

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

    rapidsai/cuvs’s past year of commit activity
    Cuda 275 Apache-2.0 75 160 37 Updated Jan 22, 2025
  • cuml Public

    cuML - RAPIDS Machine Learning Library

    rapidsai/cuml’s past year of commit activity
    C++ 4,369 Apache-2.0 546 873 (1 issue needs help) 71 Updated Jan 22, 2025
  • legate-dataframe Public
    rapidsai/legate-dataframe’s past year of commit activity
    C++ 0 Apache-2.0 4 7 2 Updated Jan 22, 2025
  • cugraph Public

    cuGraph - RAPIDS Graph Analytics Library

    rapidsai/cugraph’s past year of commit activity
    Cuda 1,833 Apache-2.0 310 168 23 Updated Jan 22, 2025
  • cudf Public

    cuDF - GPU DataFrame Library

    rapidsai/cudf’s past year of commit activity
    C++ 8,622 Apache-2.0 920 974 (47 issues need help) 114 Updated Jan 22, 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 822 Apache-2.0 197 416 (2 issues need help) 14 Updated Jan 22, 2025
  • ucxx Public
    rapidsai/ucxx’s past year of commit activity
    C++ 24 BSD-3-Clause 29 33 (1 issue needs help) 14 Updated Jan 22, 2025
  • ucx-py Public

    Python bindings for UCX

    rapidsai/ucx-py’s past year of commit activity
    Python 123 BSD-3-Clause 60 58 16 Updated Jan 22, 2025
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