Deep Learning Visualization Toolkit（『飞桨』深度学习可视化工具 ）

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

SOTA image super-resolution in JavaScript/Wasm using an ONNX-ported SwinIR model

本地ocr

This repository demonstrates browser based implementation of DepthAnything and DepthAnythingV2 models. It is powered by Onnx and does not require any web servers or APIs.

Neural is a domain-specific language (DSL) designed for defining, training, debugging, and deploying neural networks. With declarative syntax, cross-framework support, and built-in execution tracing (NeuralDbg), it simplifies deep learning development.

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.

Table with operator formulas and mappings at a glance, as much ML documentation is missing details

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

old photo image colorize

Depth Anything ONNX for browser

webgpu based llm chatbot, try on chrome browsers

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.

A simple Go web app for detecting objects in images using YOLOv11.

Made with the ONNX.js framework from Microsoft. Similar to tensorflow.js, ONNX.js is another framework to provide the capability of running machine learning models on the web with JavaScript

Canaan K510 For 100askTeam DongshanPI-Vision user manual

python(machine learning) + htmx test

A short introduction to ONNX

A simple example of a Malagasy TTS completely in the browser using Transformers.js