Speech emotion recognition models for the Moody web application.
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)
Convert a PyTorch model and train it in JavaScript in your browser using ONNX Runtime Web
YOLOv5 model for table detection and text recognizing with Textract API
YOLOv5 Segmentation Right in The Browser Using onnxruntime-web
A PoC to run Segment Anything Model (SAM) entirely in the browser without any backend
YOLOv8 Segmentation Right in The Browser Using onnxruntime-web
Client-side RetinaFace inference in vanilla JavaScript
An approach to make a more modular UI for ONNX Stable Diffusion, to ease future upgrades
Demos to run different AI models directly in browser
A simple Web AI model deployment tool using JavaScript based on OpenCV.js and ONNXRuntime
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.
Transformers.jsを使ったTextToSpeechのサンプル
A test environment running yolov9-wholebody15 on onnxruntime-web.
Ionic application for detection of tomato diseases on leaves🍃
Demo application for in-browser Generative AI: ONNX, Transformers.js, WebGPU, WebNN
A reinforcement learning pong game
A browser extension that provides a summary of what data is shared by the website in use.
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