ashnkumar/sketch-code

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

5141 stars · 675 forks observed · 2026-10-08

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A Keras/TensorFlow deep learning model that converts hand-drawn website wireframes into HTML code using an image captioning architecture (CNN encoder, LSTM decoder). Built in 2018 as a proof-of-concept based on pix2code, it is no longer maintained and targets TensorFlow 1.x.

Use cases

• convert hand-drawn website mockups to html
• generate html from wireframe sketches
• image captioning model for code generation
• experiment with sketch-to-code deep learning
• reproduce pix2code-style html generation

When to choose

• studying historical image-captioning approaches to code generation
• working with wireframes closely resembling its synthetic training dataset
• learning how CNN+LSTM captioning architectures were adapted for HTML output

When to avoid

• production sketch-to-code conversion on real-world drawings
• modern TensorFlow/Keras environments (targets TF 1.x)
• projects needing maintained or generalizable models - modern vision-language models handle this zero-shot

Facets

library · maturity abandoned

machine-learning deep-learning image-processing nlp deep-learning machine-learning web-development computer-vision python image-captioning html-generation keras tensorflow wireframe-to-code proof-of-concept unmaintained

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