Awesome Data Analysis
Section: Tools · GPU-accelerated machine learning algorithms from RAPIDS.
FreshScore 80
Entry
cuML
Appears in 7 awesome lists
is a suite of libraries that implement machine learning algorithms and mathematical primitives functions that share compatible APIs with other RAPIDS projects. cuML enables data scientists, researchers, and software engineers to run traditional tabular ML tasks on GPUs without going into the…
Open github.comrapidsai/cuml
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AWESOME DATA SCIENCE
Section: General Machine Learning Packages
FreshScore 92
Awesome Open Source AI
Section: 1. Core Frameworks & Libraries · GPU-accelerated machine learning algorithms with scikit-learn compatible API. 10-50x faster than CPU implementations for large datasets. Apache 2.0 licensed.
FreshScore 89
Awesome Python Data Science
Section: General Purpose Machine Learning · RAPIDS Machine Learning Library.
ActiveScore 71
Awesome Data Science with Python
Section: General · RAPIDS, Run traditional tabular ML tasks on GPUs, Intro. flashlib - A GPU library for classical machine-learning operators.
FreshScore 82
Table of Contents
Section: ML frameworks & applications · is a suite of libraries that implement machine learning algorithms and mathematical primitives functions that share compatible APIs with other RAPIDS projects. cuML enables data scientists, researchers, and software engineers to run traditional tabular ML tasks on GPUs without going into the…
SlowScore 61
Table of Contents
Section: ML Frameworks, Libraries, and Tools · is a suite of libraries that implement machine learning algorithms and mathematical primitives functions that share compatible APIs with other RAPIDS projects. cuML enables data scientists, researchers, and software engineers to run traditional tabular ML tasks on GPUs without going into the…
SlowScore 51
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