CMSIS-NN
tinyengine
CMSIS-NN | tinyengine | |
---|---|---|
1 | 3 | |
149 | 742 | |
6.0% | 3.4% | |
8.0 | 5.6 | |
5 days ago | about 1 month ago | |
C | C | |
Apache License 2.0 | MIT License |
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CMSIS-NN
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[D] Run Pytorch model inference on Microcontroller
CMSIS-NN. ARM centric. Examples. They also have an example for a pytorch to tflite converter via onnx
tinyengine
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[D] Run Pytorch model inference on Microcontroller
TinyEngine from MCUNet. Looks great, targeting ARM CM4.
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[D][R] Deploying deep models on memory constrained devices
However, I am looking on this subject through the problem of training/finetuning deep models on the edge devices, being increasingly available thing to do. Looking at tflite, alibaba's MNN, mit-han-lab's tinyengine etc..
- TinyEngine: High-performance neural network library for Microcontrollers
What are some alternatives?
nnom - A higher-level Neural Network library for microcontrollers.
prnf - A lightweight tiny printf alternative. With some reasonable limitations, extensions, and alternative behaviour suited to microcontrollers.
onnx2c - Open Neural Network Exchange to C compiler.
cONNXr - Pure C ONNX runtime with zero dependancies for embedded devices
ML-examples - Arm Machine Learning tutorials and examples
deepC - vendor independent TinyML deep learning library, compiler and inference framework microcomputers and micro-controllers
ai8x-synthesis - Quantization and Synthesis (Device Specific Code Generation) for ADI's MAX78000 and MAX78002 Edge AI Devices
EdgeML - This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.
TinyMaix - TinyMaix is a tiny inference library for microcontrollers (TinyML).
SLID-on-Microcontrollers - Speech Classification using a Convolutional Neural Network running on a Microcontroller