computerhistory/AlexNet-Source-Code resource

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

2968 stars · 393 forks observed · 2026-08-28

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

The original 2012 source code of AlexNet, the convolutional neural network that won the ImageNet 2012 competition, released as open source by the Computer History Museum in collaboration with Google. It includes the original CUDA-based implementation and the trained ImageNet parameter files.

Use cases

• study the original AlexNet implementation
• read the historic 2012 CUDA neural network code
• examine the original trained ImageNet parameters
• research the history of deep learning
• compare the original code against paper reimplementations

When to choose

• you want the authentic 2012 AlexNet source rather than modern reimplementations
• you are researching the history of deep learning or CNNs
• you need the original trained parameter files for archival or study purposes

When to avoid

• you need a modern, maintained AlexNet implementation for production or training
• you want a framework like PyTorch or TensorFlow for current deep learning work
• you need code that runs on modern GPU toolchains without modification

Facets

learning-resource · maturity maintenance

deep-learning machine-learning computer-vision image-processing deep-learning computer-vision machine-learning artificial-intelligence cpp alexnet historical-source-code cuda imagenet convolutional-neural-networks computer-history-museum archive gpu linux

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markdown · JSON · MCP: product_card(name="computerhistory/AlexNet-Source-Code")