Handwired

What is Handwired?

Handwired converts standard JavaScript code into neural network operations. It takes regular control flow and mathematical expressions and transforms them into differentiable functions. The process requires no initial training phase to generate the base model.

The resulting models run directly in modern web browsers without requiring a dedicated GPU. Developers can compile existing programs and then unfreeze specific weights to train them in real time. This approach supports complex tasks like rendering user interfaces and processing large datasets.

Practical examples include building a small desktop environment in JavaScript, searching through hundreds of thousands of JSON documents, and compiling regex matching into WebGPU kernels for massive parallel execution. The tool is hosted on GitHub for public access.

Handwired features

• Transforms standard JavaScript code into neural network operations
• Generates fully differentiable models without initial training
• Runs directly in web browsers without requiring a dedicated GPU
• Allows real-time weight unfreezing and training after compilation
• Compiles complex logic like regex and JSON parsing into WebGPU kernels

Who uses Handwired and for what

• Building interactive desktop applications that run entirely in the browser
• Creating machine learning models from existing JavaScript business logic
• Accelerating large-scale data search and parsing using WebGPU parallelism
• Developing educational tools that demonstrate differentiable programming concepts

Handwired FAQ

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