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README: Mention micropython-npyfile
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README.md

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@@ -28,11 +28,13 @@ It can be combined with feature preprocessing, including neural networks to addr
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- Fast Fourier Transform (FFT) for feature preprocessing, or general DSP
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- Infinite Impulse Response (IIR) filters for feature preprocessing, or general DSP
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- Clustering using K-means
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- Load/save Numpy .npy files using [micropython-npyfile](https://github.com/jonnor/micropython-npyfile/)
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- Installable as a MicroPython native module. No rebuild/flashing needed
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- Models can be loaded at runtime from a file in disk/flash
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- Highly efficient. Inference times down to 100 microseconds, RAM usage <2 kB, FLASH usage <2 kB
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- Pre-built binaries available for most architectures.
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## Prerequisites
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Minimally you will need

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