intel

oneAPI Deep Neural Network Library (oneDNN)

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

The CVE Binary Tool helps you determine if your system includes known vulnerabilities. You can scan binaries for over 350 common, vulnerable components (openssl, libpng, libxml2, expat and others), or if you know the components used, you can get a list of known vulnerabilities associated with an SBOM or a list of components and versions.

Intel® Neural Compressor (formerly known as Intel® Low Precision Optimization Tool), targeting to provide unified APIs for network compression technologies, such as low precision quantization, sparsity, pruning, knowledge distillation, across different deep learning frameworks to pursue optimal inference performance.

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

User space software for Intel(R) Resource Director Technology

Concise Binary Object Representation (CBOR) Library

Libva is an implementation for VA-API (Video Acceleration API)

OCI (Open Containers Initiative) compatible runtime for Intel® Architecture

System performance analysis and characterization tool

Intercept Layer for Debugging and Analyzing OpenCL Applications

Confidential Computing Zoo provides confidential computing solutions based on Intel SGX, TDX, HEXL, etc. technologies.

This tool translates synthesizable SystemC code to synthesizable SystemVerilog.

The Rapid Open Hardware Development (ROHD) framework is a framework for describing and verifying hardware in the Dart programming language.

The easiest way to use Machine Learning. Mix and match underlying ML libraries and data set sources. Generate new datasets or modify existing ones with ease.

AI/GPU flame graph

JavaScript* Runtime for Zephyr* OS

Deprecated, the Web Neural Network Polyfill project has been moved to https://github.com/webmachinelearning/webnn-polyfill

Yet Another Media Infrastructure. it is core part of media codec with hardware acceleration, it is yummy to your video experience on Linux like platform.

Enabling Kubernetes to make pod placement decisions with platform intelligence.

YASK--Yet Another Stencil Kit: a domain-specific language and framework to create high-performance stencil code for implementing finite-difference methods and similar applications.

Intel(R) Machine Learning Scaling Library is a library providing an efficient implementation of communication patterns used in deep learning.

This collection of samples demonstrates best practices to achieve optimal video quality and performance on Intel GPUs for content delivery networks. Check out our demo, recommended command lines and quality and performance measuring tools.

Intel® Query Processing Library (Intel® QPL)

Intel® Data Mover Library (Intel® DML)

Bond-cni is for fail-over and high availability of networking in cloudnative orchestration

A modular acceleration toolkit for big data analytic engines

Intent Driven Orchestration enables management of applications through their Service Level Objectives, while minimizing developer and administrator overhead.

The project delivers a comprehensive full-stack solution for the Intel® Enterprise AI Foundation on the OpenShift platform to provision Intel AI and Xeon accelerators, integrate AI software, and enable key AI workloads, such as LLM inferencing, training and fine-tuning for enterprise AI. RoCE Network provisioning is also inlcuded.

The ROHD Verification Framework is a hardware verification framework built upon ROHD for building testbenches.