ML-examples
tinyengine
| ML-examples | tinyengine | |
|---|---|---|
| 2 | 3 | |
| 406 | 740 | |
| 2.2% | 3.1% | |
| 5.0 | 5.6 | |
| 9 months ago | about 1 month ago | |
| C++ | C | |
| Apache License 2.0 | MIT License |
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ML-examples
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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
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Machine Learning on ARM
Well there's something, https://github.com/ARM-software/ML-examples
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?
MNN - MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba
prnf - A lightweight tiny printf alternative. With some reasonable limitations, extensions, and alternative behaviour suited to microcontrollers.
oneflow - OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.
nnom - A higher-level Neural Network library for microcontrollers.
tensorflow - An Open Source Machine Learning Framework for Everyone
ai8x-synthesis - Quantization and Synthesis (Device Specific Code Generation) for ADI's MAX78000 and MAX78002 Edge AI Devices
onnx2c - Open Neural Network Exchange to C compiler.
EdgeML - This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.
CNTK - Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
SLID-on-Microcontrollers - Speech Classification using a Convolutional Neural Network running on a Microcontroller
serving - A flexible, high-performance serving system for machine learning models
TinyMaix - TinyMaix is a tiny inference library for microcontrollers (TinyML).