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anomalib

An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

awesome-openvino

A curated list of OpenVINO based AI projects

cpu_extensions

datumaro

Dataset Management Framework, a Python library and a CLI tool to build, analyze and manage Computer Vision datasets.

deep-object-reid

OpenVINO Training Extensions Object Re-identification

docker_ci

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

geti-sdk

Software Development Kit (SDK) for the Intel® Geti™ platform for Computer Vision AI model training.

googletest

Googletest - Google Testing and Mocking Framework

hyper_parameter_optimization

Python library of automatic hyper-parameter optimization

mediapipe

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

mlas

mlperf

mmaction

An open-source toolbox for action understanding based on PyTorch

mmaction2

OpenVINO Training Extensions Action Recognition

mmdetection

OpenVINO Training Extensions Object Detection

mmsegmentation

OpenVINO Training Extensions Semantic Segmentation

model_analyzer

Model Analyzer is the Network Statistic Information tool

model_api

model_preparation_algorithm

Model Preparation Algorithm: a Transfer Learning Framework

model_server

A scalable inference server for models optimized with OpenVINO™

nncf

Neural Network Compression Framework for enhanced OpenVINO™ inference

npu_plugin

OpenVINO NPU Plugin

npu_plugin_btc

npu_plugin_elf

onednn

oneAPI Deep Neural Network Library (oneDNN)

onnx

Open standard for machine learning interoperability

openvino

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

openvino.genai

Run Generative AI models using native OpenVINO C++ API

openvino_contrib

Repository for OpenVINO's extra modules