tfjs VS berry

TensorFlow.js

Many people seem to be unaware of tensorflow.js, an official JS implementation of TF

https://github.com/tensorflow/tfjs

I'd love to see PyTorch in JS, but I think unless you get it running on the GPU it won't be able to do much.

TensorflowJS GitHub Repository

Also, Tensorflow.js WebGPU backend has been in the works for quite some time: https://github.com/tensorflow/tfjs/tree/master/tfjs-backend-...

It's a pity that tfjs never truly developed any decent ops. E.g. you need lgamma to implement the cap for zero-inflated poisson regression and tfjs simply doesn't have that: https://github.com/tensorflow/tfjs/issues/2011

People have been doing it for long with WebGL, see eg https://github.com/tensorflow/tfjs and https://cloudblogs.microsoft.com/opensource/2021/09/02/onnx-...

thanks, no not unity, going to show it as a demo with threejs + tensorflow on the web. I found a github request to add face orientation https://github.com/tensorflow/tfjs/issues/3835 looks like they assigned someone to add it but doesn't look like its available yet, but there's some posts about the math I can use to get rotations based on some of the landmarks

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.

Full docs and code: https://github.com/tensorflow/tfjs/tree/master/e2e/benchmarks/local-benchmark

Yarn

Install Yarn or NPM to add the required packages and modules.

Latest version of Node and Yarn

Have Node and Yarn installed with a recent version.

Node.js manages dependencies using package managers like npm (Node Package Manager), yarn, and pnpm. npm comes pre-installed with Node.js and allows you to install and uninstall Node.js packages. It uses a package.json file to keep track of which packages your project depends on. Yarn and Pnpm are alternative package managers that aim to improve on npm in various ways, such as improved performance and better lock file format.

Depending on the stack of the repository you are cloning, you might have to install additional dependencies. For this demo, I'm using my own website, which is a static website built with Astro.js. It which requires to have Node.js installed and Yarn for package manager.

A package manager such as npm, Yarn, or pnpm. A package manager is a tool that helps you manage the dependencies of your project. You can use any of these package managers to install Jest and other packages.

To start off, you'll need Node.js installed on your local system. This ChatGPT API guide will use Yarn to install dependencies in the project, but you're free to use npm or any other package management tool if you wish. Finally, you'll need an OpenAI account for ChatGPT API access.

This package is available in the Node Package Repository and can be easily installed with npm or yarn

Yarn or Npm(This tutorial uses Yarn)