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
YOLOv5 Segmentation Right in The Browser Using onnxruntime-web
Yolo object detection webapp, Power by onnxruntime-web, Support WebGPU, wasm(cpu)
Client-side RetinaFace inference in vanilla JavaScript
A web application that analyzes the semantic similarity between text and images using the DFN (Data Filtering Networks) model.
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.
A reinforcement learning pong game
Demos to run different AI models directly in browser
YOLOv5 model for table detection and text recognizing with Textract API
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