Intel(R) Extension for Scikit-learn
A free software AI accelerator that speeds up scikit-learn applications by 10-100x on CPUs and GPUs with no code changes.
What is Intel(R) Extension for Scikit-learn?
Extension for Scikit-learn is a performance optimization library that accelerates scikit-learn machine learning workloads by 10-100x. It achieves this through hardware-specific optimizations while maintaining full API compatibility with standard scikit-learn, requiring minimal code changes.
Data scientists and machine learning engineers working with scikit-learn who need faster model training and inference, particularly those dealing with large datasets or requiring real-time predictions.
Developers choose this extension because it provides dramatic performance improvements without requiring code rewrites or API changes, supports both CPU and GPU acceleration, and integrates seamlessly into existing scikit-learn workflows.
Overview
Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application
Use Cases
Best For
- Accelerating scikit-learn model training on large datasets
- Improving inference performance for production machine learning systems
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