rapidsai/cuml
cuML - RAPIDS Machine Learning Library
This project helps data scientists and researchers accelerate traditional machine learning tasks on large tabular datasets. You input your datasets, and it rapidly computes results for clustering, regression, classification, and dimensionality reduction, often 10-50x faster than CPU-based methods. It's designed for professionals working with big data who need to analyze and model information quickly.
5,143 stars. Actively maintained with 66 commits in the last 30 days.
Use this if you are a data scientist, researcher, or software engineer needing to perform common machine learning tasks on very large datasets and have access to NVIDIA GPUs.
Not ideal if you primarily work with small datasets or do not have access to GPU hardware, as the performance benefits would not apply.
Stars
5,143
Forks
616
Language
C++
License
Apache-2.0
Category
Last pushed
Mar 13, 2026
Commits (30d)
66
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