ONNX.js is a Javascript library for running ONNX models on browsers and on Node.js. ONNX.js has adopted WebAssembly and WebGL technologies for providing an optimized ONNX model …

ONNX.js demo is an interactive demo portal showing real use cases running ONNX.js runtime in VueJS. It currently supports four examples for you to quickly experience the power of ONNX.js …

Run PyTorch models in the browser with JavaScript by first converting your PyTorch model into the ONNX format and then loading that ONNX model in your website or app using ONNX.js. In …

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator - microsoft/onnxruntime

ONNX Runtime Web demo is an interactive demo portal showing real use cases running ONNX Runtime Web in VueJS. It currently supports four examples for you to quickly experience the …

YOLOv8 inference using Javascript This is a web interface to YOLOv8 object detection neural network implemented that allows to run object detection right in a web browser without any …

ONNX.js: run ONNX models using JavaScript. Contribute to microsoft/onnxjs development by creating an account on GitHub.

Convert a PyTorch model and train it in JavaScript using ONNX Runtime Web. Try it yourself at https://juharris.github.io/train-pytorch-in-js. Example:

Node.js plugin for speech recognition that works with OpenAI's Whisper models using ONNX.

Apr 2, 2022 · The model should give the exact same output for a specific input vector. Between runtimes (python, javascript), the output might not be identical, but it should be similar. …