{"repo":"uxlfoundation/oneDAL","free":true,"listed":false,"github":"https://github.com/uxlfoundation/oneDAL","clone":"git clone https://github.com/uxlfoundation/oneDAL.git","description":"oneAPI Data Analytics Library (oneDAL)","language":"C++","stars":651,"topics":["onedal","data-analysis","oneapi","machine-learning","machine-learning-algorithms","hacktoberfest","swrepo","ai-machine-learning","big-data","analytics"],"license":"Apache-2.0","category":"analytics","readme_excerpt":"oneAPI Data Analytics Library Installation       Documentation       Support       Examples       How to Contribute    oneAPI Data Analytics Library (oneDAL) is a C++ and DPC++ library (powering the Extension for Scikit-learn in Python) which implements accelerated machine learning routines for tabular data (e.g. linear regression, K-means clustering, random forests, etc.) for CPUs, GPUs, and multi-node distributed setups. Acceleration on CPUs is achieved by leveraging SIMD instructions and exploiting cache structures of modern hardware, while GPU acceleration leverages the SYCL framework and the oneMKL library. OneDAL is part of the UXL Foundation and is an implementation of the oneAPI specification for the oneDAL component. Usage There are different ways for you to build high-performance data science applications that use the advantages of oneDAL: - Use Extension for Scikit-learn to accelerate existing scikit-learn code by making it call oneDAL behind the scenes. - Use oneDAL C++ interfaces with or without SYCL support (learn more). Installation Check the System Requirements before installing to ensure compatibility with your system. There are several options available for installing oneDAL: - Binary Distribution : pre-built binary packages are available from the following sources: - Intel® oneAPI: - Download as the Stand-Alone oneAPI Data A","default_branch":null,"files":null,"tree":[],"storefront":"/r/uxlfoundation","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/uxlfoundation/oneDAL/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}