This is the Linux app named cuML whose latest release can be downloaded as v25.08.00sourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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cuML
DESCRIPTION
cuML 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 details of CUDA programming. In most cases, cuML's Python API matches the API from scikit-learn. For large datasets, these GPU-based implementations can complete 10-50x faster than their CPU equivalents. For details on performance, see the cuML Benchmarks Notebook.
Features
- Module Configuration
- Preprocessing, Metrics, and Utilities
- Dimensionality Reduction and Manifold Learning
- Multi-Node, Multi-GPU Algorithms
- Time Series
- Model Explainability
Programming Language
C++
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/cuml.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
