oneapi

支持 AnyRouter、AgentRouter 的多平台多账号签到，理论兼容所有基于 NewAPI、OneAPI 的平台。

Open-source library of optimized deep learning operations (matmul, convolution, attention) for CPUs (x64, AArch64, RISC-V) and Intel GPUs. Used by PyTorch, TensorFlow, OpenVINO, and ONNX Runtime.

oneAPI Threading Building Blocks (oneTBB)

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

Samples for Intel® oneAPI Toolkits

oneAPI Data Analytics Library (oneDAL)

大模型API网关-全新AI大模型接口管理与API聚合分发系统 , 支持将多种大模型转换成统一的OpenAI兼容接口,Claude接口,Gemini接口，可供个人或者企业内部大模型API 统一管理和渠道分发使用(key管理与二次分发)，支持国际国内所有主流大模型，gemini,claude,qwen3,kimi-k2,豆包等，提供单可执行文件， docker镜像，一键部署，开箱即用，完全开源，自主可控！本项目基于New-API和One-API，整合了NewAPI,OneAPI所有功能及众多第三方插件为一身，功能超强！

Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application

oneAPI Math Library (oneMath)

Main repository for QMCPACK, an open-source production level many-body ab initio Quantum Monte Carlo code for computing the electronic structure of atoms, molecules, and solids with full performance portable GPU support

Peak compute, memory bandwidth and latency of CPUs, GPUs and NPUs: the same tests through every API that reaches a device. Command line and app for Windows, macOS, Linux and Android

oneAPI Level Zero Specification Headers and Loader

Numerical linear algebra software package

oneAPI DPC++ Library (oneDPL) https://software.intel.com/content/www/us/en/develop/tools/oneapi/components/dpc-library.html

Archived oneAPI specification sources. The current dynamic specification is maintained on the UXL Foundation website and in project documentation.

oneAPI Collective Communications Library (oneCCL)

Portable and vendor neutral framework for parallel programming on heterogeneous platforms.

This repository is for participants of INTEL ONE API 2023 Hackathon

oneAPI Level Zero Conformance & Performance test content

A library for constructing allocators and memory pools. It also contains broadly useful abstractions and utilities for memory management. UMF allows users to manage multiple memory pools characterized by different attributes, allowing certain allocation types to be isolated from others and allocated using different hardware resources as required.