mlverse/cuda.ml
R interface for cuML
This R package helps data scientists and analysts speed up common machine learning tasks, especially when working with large datasets. It takes your existing data and applies GPU-accelerated algorithms for tasks like clustering, classification, regression, and dimensionality reduction, outputting the results much faster than traditional CPU-based methods. This is ideal for R users who perform data analysis and build predictive models.
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Use this if you are an R user working with large datasets and want to significantly accelerate your machine learning model training or data visualization using GPU power.
Not ideal if you don't have access to a CUDA-enabled GPU or if you primarily work with very small datasets where the overhead of GPU transfer might outweigh performance gains.
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May 02, 2022
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