Python function as pipeline jobs.

OpenAI Triton backend for Intel® GPUs

scikit-learn: machine learning in Python

The pytest framework makes it easy to write small tests, yet scales to support complex functional testing

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

Data Parallel Control

Data Parallel Extension for Numba

Intel staging area for llvm.org contribution. Home for Intel LLVM-based projects.

NumPy drop-in replacement for Intel(R) XPUs

Sequential model-based optimization with a `scipy.optimize` interface

Induced Suffix Array and LCP construction based on the SAIS algorithm.

A Jenkins plugin for interfacing with GitLab

A scikit-learn compatible neural network library that wraps pytorch

A Python C module wrapper around the SA-IS suffix array construction algorithm by Yuta Mori.

Computation using data flow graphs for scalable machine learning