cuDF, cuML & RAPIDS: GPU Accelerated Data Science with Paul Mahler – TWiML Talk #254
In our conversation, Paul and I discuss NVIDIA’s RAPIDS open source project, which aims to bring GPU acceleration to traditional data science workflows and machine learning tasks. We dig into the various subprojects like cuDF and cuML that make up the RAPIDS ecosystem, as well as the role of lower-level libraries like mlprims and the relationship to other open-source projects like Scikit-learn, XGBoost and Dask.
The complete show notes for this episode can be found at https://twimlai.com/talk/254.
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