Popular GitHub Repositories for Audacity Openvino

Unified framework for building enterprise RAG pipelines with small, specialized models

YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/

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

Go package for computer vision using OpenCV 4 and beyond. Includes support for DNN, CUDA, OpenCV Contrib, and OpenVINO.

NanoDet-Plus?Super fast and lightweight anchor-free object detection model. ?Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone?

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

TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile、desktop and server. TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning. Based on ncnn and Rapidnet, TNN further strengthens the support and performance optimization for mobile devices, and also draws on the advantages of good extensibility and high performance from existed open source efforts. TNN has been deployed in multiple Apps from Tencent, such as Mobile QQ, Weishi, Pitu, etc. Contributions are welcome to work in collaborative with us and make TNN a better framework.

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

OpenMMLab Model Deployment Framework

? Jupyter notebook tutorials for OpenVINO?

Fast and accurate human pose estimation in PyTorch. Contains implementation of "Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose" paper.

Fast stable diffusion on CPU

Deep learning gateway on Raspberry Pi and other edge devices

nndeploy is an end-to-end model inference and deployment framework. It aims to provide users with a powerful, easy-to-use, high-performance, and mainstream framework compatible model inference and deployment experience.一款端到端的模型推理和部署框架。它旨在为用户提供功能强大、简单易用、高性能且兼容主流框架的模型推理和部署体验。

Add bisenetv2. My implementation of BiSeNet

nGraph has moved to OpenVINO

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

Neural Network Compression Framework for enhanced OpenVINO? inference

Contains examples for the Movidius Neural Compute Stick.

Fast and accurate face landmark detection library using PyTorch; Support 68-point semi-frontal and 39-point profile landmark detection; Support both coordinate-based and heatmap-based inference; Up to 100 FPS landmark inference speed with SOTA face detector on CPU.