Categories
Misc

NVIDIA cuML Brings Zero Code Change Acceleration to scikit-learn

A diagram shows machine learning algorithms and the scikit-learn logo running on NVIDIA cuML to best leverage a system’s GPU and CPU.Scikit-learn, the most widely used ML library, is popular for processing tabular data because of its simple API, diversity of algorithms, and compatibility with…A diagram shows machine learning algorithms and the scikit-learn logo running on NVIDIA cuML to best leverage a system’s GPU and CPU.

Scikit-learn, the most widely used ML library, is popular for processing tabular data because of its simple API, diversity of algorithms, and compatibility with popular Python libraries such as pandas and NumPy. NVIDIA cuML now enables you to continue using familiar scikit-learn APIs and Python libraries while enabling data scientists and machine learning engineers to harness the power of CUDA on…

Source

Leave a Reply

Your email address will not be published. Required fields are marked *