ONNX runtime for Flutter.

Web-based real-time object detection for YOLO model.

A PoC to run Segment Anything Model (SAM) entirely in the browser without any backend

A simple Web AI model deployment tool using JavaScript based on OpenCV.js and ONNXRuntime

YOLOv8 Segmentation Right in The Browser Using onnxruntime-web

Convert a PyTorch model and train it in JavaScript in your browser using ONNX Runtime Web

An approach to make a more modular UI for ONNX Stable Diffusion, to ease future upgrades

YOLOv5 Segmentation Right in The Browser Using onnxruntime-web

A game where players compete to draw differing prompts on a shared canvas, as scored by a computer vision model

A test environment running yolov9-wholebody15 on onnxruntime-web.

Demo application for in-browser Generative AI: ONNX, Transformers.js, WebGPU, WebNN

Speech emotion recognition models for the Moody web application.

onnxruntime-web

This repository demonstrates browser based implementation of DeOldify that colorizes black & white images. It is powered by Onnx and does not require any web servers.

Yolo object detection onnxruntime-web, Support WebGPU, wasm(cpu)

Client-side RetinaFace inference in vanilla JavaScript

We convert timm (Pytorch Image Models) models to .onnx and check their performance in browser using ONNX Runtime Web (ort-web). So you can find the suitable model for your JavaScript web-app according to your needs.

Convolutional AutoEncoders (MNIST) and their generative capabilities (kind of amazing)

Demos to run different AI models directly in browser

MNIST inference on web with ONNX