tinyengine
cONNXr
| tinyengine | cONNXr | |
|---|---|---|
| 3 | 2 | |
| 747 | 177 | |
| 4.0% | - | |
| 5.6 | 0.0 | |
| about 2 months ago | 7 months ago | |
| C | C | |
| MIT License | MIT License |
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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
cONNXr
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[D] Run Pytorch model inference on Microcontroller
cONNXr - framework with C99 inference engine. Also interesting and not very active.
- [D] Machine Learning Expertise Combined with Embedded Knowlege
What are some alternatives?
prnf - A lightweight tiny printf alternative. With some reasonable limitations, extensions, and alternative behaviour suited to microcontrollers.
nanopb-example - This is a simple project created to test the capabilities of Google's protobuf C implementation, nanopb.
nnom - A higher-level Neural Network library for microcontrollers.
CMSIS-NN - CMSIS-NN Library
ML-examples - Arm Machine Learning tutorials and examples
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.
MaximAI_Documentation - START HERE: Documentation for ADI's MAX78000 and MAX78002 Edge AI devices
SLID-on-Microcontrollers - Speech Classification using a Convolutional Neural Network running on a Microcontroller