.

I'm Andreas Müller

Refactoring the World, one commit at a time :)

Projects

Things I build to learn, and keep running because they turned out useful.

Visual model builder showing input, dense and output layers connected on a canvas

WebNet Builder

Design, train and evaluate neural networks without writing code

A no-code platform for building neural networks visually. Import a CSV dataset, assemble an architecture layer by layer, then train and evaluate it directly in the browser — nothing is sent to a server, because the whole training loop runs on your own hardware through TensorFlow.js.

  • Visual layer editor for Dense, Dropout, Convolutional and LSTM architectures
  • CSV import with MinMax, Standard, Label and One-Hot preprocessing
  • In-browser training on WebGPU, WebGL or WebAssembly with live accuracy and loss
  • Projects and trained models export as ZIP for sharing or later work
  • Angular
  • TensorFlow.js
  • WebGPU
  • TypeScript
  • D3.js