OpenVINO™ Toolkit

openvino

OpenVINO™ is an open source toolkit for optimizing and deploying AI inference

open_model_zoo

Pre-trained Deep Learning models and demos (high quality and extremely fast)

openvino_notebooks

📚 Jupyter notebook tutorials for OpenVINO™

training_extensions

Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™

nncf

Neural Network Compression Framework for enhanced OpenVINO™ inference

model_server

A scalable inference server for models optimized with OpenVINO™

openvino.genai

Run Generative AI models with simple C++/Python API and using OpenVINO Runtime

openvino_build_deploy

Pre-built components and code samples to help you build and deploy production-grade AI applications with the OpenVINO™ Toolkit from Intel

awesome-openvino

A curated list of OpenVINO based AI projects

openvino_contrib

Repository for OpenVINO's extra modules

docker_ci

The framework to generate a Dockerfile, build, test, and deploy a docker image with OpenVINO™ toolkit.

npu_compiler

OpenVINO NPU Plugin

openvino_tokenizers

OpenVINO Tokenizers extension

openvino_xai

OpenVINO™ Explainable AI (XAI) Toolkit: Visual Explanation for OpenVINO Models

model_api

openvino_testdrive

With OpenVINO Test Drive, users can run large language models (LLMs) and models trained by Intel Geti on their devices, including AI PCs and Edge devices.

oneDNN

oneAPI Deep Neural Network Library (oneDNN)

operator

OpenVINO operator for OpenShift and Kubernetes

security_addon

OpenVINO™ Security Add-on to control access to inferencing models.

model_analyzer

Model Analyzer is the Network Statistic Information tool

mlas

mediapipe

Cross-platform, customizable ML solutions for live and streaming media.

npu_plugin_elf

sd-webui-openvino

MLPerf

npu_plugin_btc

telemetry

testdata

OpenVINO™ Test Data Repository

fork-nncf

Neural Network Compression Framework for enhanced OpenVINO™ inference

openvinotoolkit.github.io