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

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

A test environment running yolov9-wholebody15 on 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.

Speech emotion recognition models for the Moody web application.

onnxruntime-web

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

yolo model benchmark onnxruntime web. Support WebGPU and wasm(cpu)