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NVIDIA/cuml

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NVIDIA cuML: GPU-Accelerated Machine Learning

6 mentions on Hacker News by 3 people: 0 stories, 6 comments · first 2019-08-09 · latest 2025-05-12

Mentions per year 6 mentions · busiest year 2019 (1)
20082026
  1. Speaking of UMAP, a new update to the cuML library ( https://github.com/rapidsai/cuml ) released last month allows UMAP to feasibly be used on big data without shenanigans/spending a lot of money. This opens up quite a few new…
    comment by minimaxir · 2025-05-12 · in Embeddings are underrated (2024)
  2. …give that a look: the feature set of GPU-accelerated ops seems just up my alley for this pipeline: https://github.com/rapidsai/cuml EDIT: looking through the docs it's just GPU-acceletated UMAP, not a parametric UMAP which trains a NN…
  3. …Single-GPU CuPy Speedups on the RAPIDS AI Medium blog CuDF: https://github.com/rapidsai/cudf CuML: https://github.com/rapidsai/cuml : > cuML is a suite of libraries that implement machine learning algorithms and mathematical primitives…
    comment by westurner · 2023-04-03 · in Pandas 2.0
  4. Consider also GPU accelerating the whole thing if you have a GPU around. cuML matches the sklearn API https://github.com/rapidsai/cuml/ . Pays off very quickly if you have large datasets.
  5. …CuML is similar to Intel Extension for Scikit-Learn in function? https://github.com/rapidsai/cuml > cuML is a suite of libraries that implement machine learning algorithms and mathematical primitives functions that share co
    comment by westurner · 2021-11-01 · in Intel Extension for Scikit-Learn
  6. …https://github.com/rapidsai/cudf and cuML (also open source) matches the scikit-learn interface: https://github.com/rapidsai/cuml PyTorch and a bunch of other DL libraries can interop with cuDF/cuML (as in, do your ETL in those libs and…