uxlfoundation/oneDAL
oneAPI Data Analytics Library (oneDAL)
This library helps data scientists and machine learning engineers perform common data analysis and machine learning tasks like linear regression or K-means clustering faster. You feed it your tabular datasets, and it produces the results of these analyses, but significantly quicker than standard methods. It's designed for users who work with large datasets and need to accelerate their machine learning workflows on various hardware, including CPUs and GPUs.
646 stars. Actively maintained with 21 commits in the last 30 days.
Use this if you are a data scientist or machine learning engineer working with large tabular datasets and want to significantly speed up your existing scikit-learn code or C++ machine learning applications.
Not ideal if you are working with non-tabular data types (like images or text) or if you are not already using or planning to use scikit-learn or C++ for your machine learning tasks.
Stars
646
Forks
225
Language
C++
License
Apache-2.0
Category
Last pushed
Mar 13, 2026
Commits (30d)
21
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/uxlfoundation/oneDAL"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Compare
Related frameworks
iree-org/iree
A retargetable MLIR-based machine learning compiler and runtime toolkit.
brucefan1983/GPUMD
Graphics Processing Units Molecular Dynamics
rapidsai/cuml
cuML - RAPIDS Machine Learning Library
NVIDIA/cutlass
CUDA Templates and Python DSLs for High-Performance Linear Algebra
ROCm/Tensile
[DEPRECATED] Moved to ROCm/rocm-libraries repo