emilwallner/Coloring-greyscale-images resource

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1053 stars · 221 forks observed · 2026-08-28

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

A tutorial repository that teaches how to colorize black and white images with deep learning, built progressively in four versions (alpha, beta, full, GAN) using Keras and TensorFlow. It accompanies a Medium article and includes Jupyter notebooks plus pre-trained GAN weights.

Use cases

• learn how to colorize black and white photos with neural networks
• understand LAB color space conversion in image colorization
• follow a step-by-step deep learning image-to-image tutorial
• experiment with a GAN for image colorization
• get started with Keras and TensorFlow on a visual task

When to choose

• you want to learn image colorization concepts from scratch
• you prefer incremental, notebook-based tutorials
• you want runnable code with pre-trained weights to experiment with

When to avoid

• you need production-quality colorization of arbitrary photos
• you want a maintained library or API rather than educational code
• you need reliable, high-fidelity results on diverse images

Facets

learning-resource · maturity maintenance

deep-learning image-processing machine-learning deep-learning image-processing tutorials python colorization keras tensorflow jupyter-notebook tutorial gan computer-vision gpu

Member repositories

For agents

markdown · JSON · MCP: product_card(name="emilwallner/Coloring-greyscale-images")