mohammad-ghaderi / cat-dog-asm-cnn
A Convolutional Neural Network implemented entirely from scratch in x86-64 assembly using AVX-512, performing cat vs dog image classification without any ML frameworks or libraries.
Why this job: says: from scratch
What it does
This project implements a full Convolutional Neural Network (CNN) entirely in x86-64 assembly language for cat–dog image classification. The network is built completely from scratch, including convolution, pooling, dense layers, forward pass, and backward pass — with no machine learning frameworks or libraries.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Inactive
- Last commit 9 months ago
- Stars
- 180
- +1 this week
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- Assembly
- 97% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 0% closed
- 1 still open
- Pull requests
- 2 merged
- 0 waiting
- Releases
- None
- Never published
- No contributing guide
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Assembly 97%
- Shell 2%
- Dockerfile <1%
Topics
- assembly
- assembly-x86
- avx512
- cat-dog-classifier
- cnn
- cnn-model
- convolutional-neural-networks
- deep-learning
- machine-learning
- neural-network
- simd-parallelism
Project record
- JobLists and guides
- StatusListed
- Commits104
- Forks14
- Watching3
- Stars in 28 days+1
- CreatedNov 11, 2025
- First seen by usNov 7, 2026
- CheckedNov 8, 2026