hunkim/deep_architecture_genealogy resource

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1220 stars · 191 forks observed · 2026-08-28

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

A curated genealogy of deep learning architectures, organized as a mindmap (Coggle) and auto-generated text index linking to arXiv papers. It traces lineages across CNNs, object detection, segmentation, generative models, and reinforcement learning.

Use cases

• find the lineage of neural network architectures
• discover papers on CNN evolution like AlexNet to ResNet
• explore generative model families such as VAE and PixelCNN
• get an overview of object detection model history
• find reading material for learning deep learning architectures

When to choose

• you want a visual map of how deep learning models relate to each other
• you need a curated paper index for studying neural architecture history

When to avoid

• you need runnable code or model implementations
• you need up-to-date coverage of recent architectures

Facets

learning-resource · maturity maintenance

machine-learning deep-learning documentation deep-learning machine-learning tutorials cross-platform genealogy mindmap paper-index neural-network-architectures awesome-list

Member repositories

For agents

markdown · JSON · MCP: product_card(name="hunkim/deep_architecture_genealogy")