A visualization and implementation framework for the Baby Dragon Hatchling biologically inspired neural architecture. It demonstrates a linear-scaling alternative to the quadratic complexity of standard Transformer attention mechanisms.
Tech Stack
PythonAI, ML & Data
Why BDH-Explainer?
• Linear scaling for long sequences
• Deep visualization tools
• Biologically grounded approach
Limitations
• Experimental architecture
• Not pre-trained for general tasks
• Limited production ecosystem
6/5/2026
Last Update
14
Forks
1
Issues
MIT
License
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