Deep Learning Visualization Toolkit(『飞桨』深度学习可视化工具 )
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Jan 22, 2025 - HTML
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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
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.
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.
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.
A WebML based Vision-Language App that Roasts you like an Asian Mom
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
A simple Go web app for detecting objects in images using YOLOv11.
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.
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
Dog Breed Classification app trained with ResNet18 and EfficientNetB0, achieved ~90% accuracy
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