Intel® Corporation has a substantial public presence on GitHub, showcasing a wide range of repositories primarily in C++, Python, and C#. Notable projects include the Intel One Mono font repository and various tools for local LLM inference, high-performance regular expression matching, and assistive technology.
Intel One Mono font repository
Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, DeepSeek, Mixtral, Gemma, Phi, MiniCPM, Qwen-VL, MiniCPM-V, etc.) on Intel XPU (e.g., local PC with iGPU and NPU, discrete GPU such as Arc, Flex and Max); seamlessly integrate with llama.cpp, Ollama, HuggingFace, LangChain, LlamaIndex, vLLM, DeepSpeed, Axolotl, etc.
High-performance regular expression matching library
Intel® Performance Counter Monitor (Intel® PCM)
BigDL: Distributed TensorFlow, Keras and PyTorch on Apache Spark/Flink & Ray
SOTA low-bit LLM quantization (INT8/FP8/MXFP8/INT4/MXFP4/NVFP4) & sparsity; leading model compression techniques on PyTorch, TensorFlow, and ONNX Runtime
The definitive HTML5 mobile javascript framework
A Python package for extending the official PyTorch that can easily obtain performance on Intel platform
A set of AI-enabled effects, generators, and analyzers for Audacity®.
Intel staging area for llvm.org contribution. Home for Intel LLVM-based projects.
A SOTA quantization algorithm for high-accuracy low-bit LLM inference, seamlessly optimized for CPU/XPU/CUDA, with multi-datatype support and full compatibility with vLLM, SGLang, and Transformers.
Intel SGX for Linux*
Intel® Graphics Compute Runtime for oneAPI Level Zero and OpenCL™ Driver
Intel Graphics Media Driver to support hardware decode, encode and video processing.
Intelligent Storage Acceleration Library
AI PC starter app for doing AI image creation, image stylizing, and chatbot on a PC powered by an Intel® Arc™ GPU.
gProfiler is a system-wide profiler, combining multiple sampling profilers to produce unified visualization of what your CPU is spending time on.
Contains the source code examples described in the "Intel® 64 and IA-32 Architectures Optimization Reference Manual"
Libva is an implementation for VA-API (Video Acceleration API)
User space software for Intel(R) Resource Director Technology
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C++ library for composing modular firmware at compile-time.
Thermal daemon for IA
Concise Binary Object Representation (CBOR) Library
The platform independent header allowing to compile any C/C++ code containing ARM NEON intrinsic functions for x86 target systems using SIMD up to AVX2 intrinsic functions
The Rapid Open Hardware Development (ROHD) framework is a framework for describing and verifying hardware in the Dart programming language.
Intel® NPU (Neural Processing Unit) Driver
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Intercept Layer for Debugging and Analyzing OpenCL Applications
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Library implementing the Responsibility Sensitive Safety model (RSS) for Autonomous Vehicles
Intel(R) Multi-Buffer Crypto for IPSec
A snapshotting, coverage-guided fuzzer for software (UEFI, Kernel, firmware, BIOS) built on SIMICS
An implementation of C++ "senders and receivers" async framework suitable for embedded platforms.
Linux Kernel Performance tests
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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
OpenAI Triton backend for Intel® GPUs
Intel LTS kernel, the kernel tree is a reference tree that contains enabling for Intel CPU's that may be up-streamed in a newer kernel version.
Intel® Software Guard Extensions SSL
Intel® AI Super Builder
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Compression Library accelerated by Intel® QuickAssist Technology
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Collection of Intel device plugins for Kubernetes
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Rust bindings for OpenVINO™
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 Homomorphic Encryption Acceleration Library for FPGAs, including open source implementation of FPGA kernels for accelerating NTT, INTT, Keyswitch and Dyadic Multiplication modular arithmetic operations, FPGA runtime, and host APIs for connecting to third-party homomorphic encryption libraries.
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Trust Domain Extensions (TDX) is introducing new, architectural elements to help deploy hardware-isolated, virtual machines (VMs) called trust domains (TDs). Intel TDX is designed to isolate VMs from the virtual-machine manager (VMM)/hypervisor and any other non-TD software on the platform to protect TDs from a broad range of software.
Data Center workload and software optimizations for Intel hardware.
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ONNX Runtime: cross-platform, high performance scoring engine for ML models
Binary Configuration Tool for Intel(R) FSP
SYCL* Templates for Linear Algebra (SYCL*TLA) - SYCL based CUTLASS implementation for Intel GPUs
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Accel-config / libaccel-config
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API capture-replay tool for Vulkan, DirectX 12, OpenCL, Intel oneAPI Level Zero, and OpenGL
Pepc - Power, Energy, and Performance Configurator
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The i40e Linux Base Drivers for Intel Ethernet Network Connections.
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The AI PC Application Installer provides a unified way to set up Intel AI PC development environments.
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Shared infrastructure for CI/CD for projects using CMake & CPM, primarily with C++.
OpenIKT(Open Inter kernel Tools) is a batch of utility tools, used to track the kernel patch status among multi open-source projects.
Rust Bindings and tools for the Intel® Simics® Simulator
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The wmi-native-module is a native module for Node.js applications to query WMI on a local Windows system using native C++.
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An advanced tool leveraging LLM and RAG technology to empower faculty with curriculum building, teaching support, and personalized learning experiences.
Reference implementation for decoding and extracting Intel® Crash Log Technology records.
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The Modular Framework Design (MFD) is a collection of Python libraries designed for use in testing environments. The primary objective of the MFD libraries is to offer a convenient and abstract method for obtaining information and manipulating hosts, network adapters, PCI devices, BMCs, and more.
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MFD Connect is a versatile module that supports SSH, RPyC, and other connection types for executing commands on remote machines, offering features like process management, file copying, and system information utilities.
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Intel GPU Base operator allows automatic deployment of GPU related components to enable use of Intel GPU hardware within the Kubernetes cluster.
Module for abstraction of tool (wrappers).
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Module for handling operations on switches from different vendors (for example IBM, Cisco, Dell)
Intel builds various open-source projects on GitHub, including tools for AI and machine learning, performance monitoring, and assistive technologies. Key repositories like intel-one-mono and ipex-llm illustrate their focus on software development and optimization.
Intel primarily uses C++, Python, C#, Rust, Go, and C in their public repositories. This diverse selection highlights their involvement in systems programming, data science, and application development across multiple platforms.
Yes, all of Intel's repositories on GitHub are public. This transparency allows developers and researchers to access, contribute to, and collaborate on projects related to performance optimization, machine learning, and more.
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