xwu99

llm-on-ray

Pretrain, finetune and serve LLMs on Intel platforms with Ray

xgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

alluxio

Alluxio, formerly Tachyon, A Virtual Distributed Storage at Memory Speed

ci-tests

HiBench

HiBench is a big data benchmark suite.

hummingbird

Hummingbird compiles trained ML models into tensor computation for faster inference.

intel-extension-for-pytorch

A Python package for extending the official PyTorch that can easily obtain performance on Intel platform

OAP

Optimized Analytics Package for Spark* Platform

oap-mllib

Optimized Spark package to accelerate machine learning algorithms in Apache Spark MLlib.

oneCCL

oneAPI Collective Communications Library (oneCCL)

oneDAL

oneAPI Data Analytics Library (oneDAL)

PAT

Performance Analysis Tool

pti-gpu

Profiling Tools Interfaces for GPU (PTI for GPU) is a set of Getting Started Documentation and Tools Library to start performance analysis on Intel(R) Processor Graphics easily

ray

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.

ray-llm

RayLLM - LLMs on Ray

scikit-learn-intelex

Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application

scikit-learn_bench

scikit-learn_bench benchmarks various implementations of machine learning algorithms across data analytics frameworks. It currently support the scikit-learn, DAAL4PY, cuML, and XGBoost frameworks for commonly used machine learning algorithms.

spark

Mirror of Apache Spark

spark-sql-perf

xgboost-bench

Tweak xgboost-bench to speed up benchmarks

xwu-tools