[P] Supporting neural network inference in web browsers

• nadder

  4 15 2.0 TypeScript

  ndarray/tensor data processing for modern browsers

I've been working on a NumPy-esque ndarray implementation for web browsers called nadder for the past few months, and it's nearing an official release soon.

• tfjs

  29 18,110 8.6 TypeScript

  A WebGL accelerated JavaScript library for training and deploying ML models.

  

There already exist a wide variety of neural network inference engines that run in web browsers (e.g. TensorFlow.js and, my personal favorite for use with PyTorch models, ONNX Runtime Web), but pre- and post-processing has always required imperative manipulations on flat buffers rather than a clean ndarray interface.

• SurveyJS

  surveyjs.io sponsored

  Open-Source JSON Form Builder to Create Dynamic Forms Right in Your App. With SurveyJS form UI libraries, you can build and style forms in a fully-integrated drag & drop form builder, render them in your JS app, and store form submission data in any backend, inc. PHP, ASP.NET Core, and Node.js.

  

• onnxruntime

  54 12,656 10.0 C++

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

  

There already exist a wide variety of neural network inference engines that run in web browsers (e.g. TensorFlow.js and, my personal favorite for use with PyTorch models, ONNX Runtime Web), but pre- and post-processing has always required imperative manipulations on flat buffers rather than a clean ndarray interface.

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