andersbll/neural_artistic_style

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

2168 stars · 472 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A Python command-line implementation of the Neural Algorithm of Artistic Style (Gatys et al., 2015) that transfers the style of one image onto the content of another using a pretrained VGG-19 network. It depends on the author's DeepPy and CUDArray libraries with cuDNN for GPU acceleration.

Use cases

• apply a painting style to a photo
• neural style transfer with vgg19
• turn a picture into a starry night style image
• generate artistic images from two input photos
• run style transfer from the command line

When to choose

• you want a simple, readable reference implementation of the original Gatys style transfer algorithm
• you want to run style transfer on a CUDA GPU with a pretrained VGG-19 model

When to avoid

• you need a maintained tool or modern framework support (last release 2016, depends on abandoned DeepPy/CUDArray)
• you need fast or real-time style transfer (iterative optimization is slow)
• you have no NVIDIA GPU with cuDNN

Facets

cli-tool · maturity abandoned

image-processing deep-learning cli machine-learning image-processing computer-vision python windows neural-style-transfer vgg19 cudnn deeppy art-generation gpu linux macos

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markdown · JSON · MCP: product_card(name="andersbll/neural_artistic_style")