A minimalist neural network framework written in pure C for high-performance inference and training without heavy dependencies. It provides a direct alternative to TensorFlow for resource-constrained environments and embedded systems.
Tech Stack
CAI, ML & Data
Why neoNN?
• No external dependencies
• Extremely small footprint
• Easy to embed in C apps
Limitations
• Limited layer types
• Manual memory management
• No GPU acceleration
2/25/2026
Last Update
0
Forks
0
Issues
MIT
License
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