OpenVINO Toolkit

Make AI inference faster and easier to deploy!

Technologies
python, c++, arm, x86
Topics
ai, deep learning, neural network, inference, gen ai
Make AI inference faster and easier to deploy!
OpenVINO is an open-source toolkit for optimizing and deploying deep learning models from cloud to edge. It accelerates deep learning inference across various use cases, such as generative AI, video, audio, and language with models from popular frameworks like PyTorch, TensorFlow, ONNX, and more. Convert and optimize models, and deploy across a mix of Intel hardware and environments, on-premises and on-device, in the browser or in the cloud.

Projects

Contributor
Ashish Bangwal
Mentor
ZhuoWu, Ethan Yang
Organization
OpenVINO Toolkit
Industrial meter reading with OpenVINO
The aim of the project is to read industrial meter with Deep Learning frameworks and OpenVINO .The project is divided into two parts. In the first...
Contributor
Blaž Rolih
Mentor
Dick Ameln, Samet Akcay
Organization
OpenVINO Toolkit
Add ensembling methods for tiling to Anomalib
When tackling the challenge of detecting defects in high-resolution images, we encounter many challenges. One significant problem is the difficulty...
Contributor
Joao P C Bertoldo
Mentor
Dick Ameln, Samet Akcay
Organization
OpenVINO Toolkit
Anomaly Segmentation Metrics for anomalib
This project proposes novel evaluation metrics for anomaly segmentation in computer vision, taking into account pixel-level and spatial information....
Contributor
Rajat Krishna
Mentor
Junwen Wu, Ravi Panchumarthy
Organization
OpenVINO Toolkit
Add OpenVINO support to John Snow Labs Spark NLP
Performance-focused, production-level machine learning libraries need to leverage the resources at their disposal to the maximum extent to deliver...
Contributor
Sawradip Saha
Mentor
Liubov Talamanova, Alexander Kozlov
Organization
OpenVINO Toolkit
Showcase performance of PyTorch Image Models (Timm) with OpenVINO
My proposal aims to optimize PyTorch Image Models (Timm) using OpenVINO and NNCF libraries. The problem at hand is that these models are...