tinyengine
CMSIS-NN
| tinyengine | CMSIS-NN | |
|---|---|---|
| 3 | 1 | |
| 747 | 154 | |
| 4.0% | 9.1% | |
| 5.6 | 8.0 | |
| about 2 months ago | 11 days ago | |
| C | C | |
| MIT License | Apache License 2.0 |
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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
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
What are some alternatives?
prnf - A lightweight tiny printf alternative. With some reasonable limitations, extensions, and alternative behaviour suited to microcontrollers.
nnom - A higher-level Neural Network library for microcontrollers.
onnx2c - Open Neural Network Exchange to C compiler.
ML-examples - Arm Machine Learning tutorials and examples
cONNXr - Pure C ONNX runtime with zero dependancies for embedded devices
ai8x-synthesis - Quantization and Synthesis (Device Specific Code Generation) for ADI's MAX78000 and MAX78002 Edge AI Devices
deepC - vendor independent TinyML deep learning library, compiler and inference framework microcomputers and micro-controllers
EdgeML - This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.
SLID-on-Microcontrollers - Speech Classification using a Convolutional Neural Network running on a Microcontroller
TinyMaix - TinyMaix is a tiny inference library for microcontrollers (TinyML).