Show HN: Static-allocation MLP inference in ANSI C using a 2-slot ring buffer
MLPico is a header-only implementation of a Multi-Layer Perceptron (MLP) in ANSI C designed for efficient memory and speed. It features a 2-slot circular buffer and supports various platforms, including Arduino. The article provides a detailed example of training an MLP to emulate a double XOR gate using TensorFlow.
- ▪MLPico is a statically-allocatable MLP implementation written in ANSI C.
- ▪It utilizes a 2-slot circular buffer for efficient feedforward prediction.
- ▪The implementation supports int-quantized weights and is compatible with AVR MCUs.
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| Original publisher | GitHub |
| Canonical URL | https://github.com/GiorgosXou/MLPico |
| Publication time | Fri, 29 May 2026 02:32:01 +0000 |
| Retrieval time | 2026-05-29T02:59:40.976Z |
| Last seen | 2026-05-29T02:59:40.976Z |
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| Summary source text | contentText |
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| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
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| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
MLPico - ANSI C (Multi-Layer Perceptron) A general-purpose header-only statically-allocatable MLP (Multi-Layer Perceptron) implementation\library written in ANSI C that utilizes a 2-slot circular-buffer with fixed stride indexing, for the process of feedforward\prediction; a technique that provides optimal speed and memory efficiency without compromises across most systems. Features Supports PROGMEM for AVR MCUs. Supports int-quantized weights. Blazingly fast and portable. Supports Arduino, too. Memory-efficienct. Simple in use. Usage See examples, for arduino or native-os\bare-metal.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.