tinyengine
SLID-on-Microcontrollers
| tinyengine | SLID-on-Microcontrollers | |
|---|---|---|
| 3 | 1 | |
| 742 | 1 | |
| 3.4% | - | |
| 5.6 | 10.0 | |
| about 1 month ago | over 1 year 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
SLID-on-Microcontrollers
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Train and run a neural network on an STM32 using Tensorflow-Lite
For a university project we had to come up with a simple project idea that uses machine learning on microcontrollers. We decided to go on spoken language identification, which means our board records your voice and classifies the spoken language after recording 10 seconds of audio with the onboard microphone. You can find the project on my github.
What are some alternatives?
prnf - A lightweight tiny printf alternative. With some reasonable limitations, extensions, and alternative behaviour suited to microcontrollers.
adorad - Fast, Expressive, & High-Performance Programming Language for those who dare
nnom - A higher-level Neural Network library for microcontrollers.
pyTsetlinMachine - Implements the Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, Weighted Tsetlin Machine, and Embedding Tsetlin Machine, with support for continuous features, multigranularity, clause indexing, and literal budget
ML-examples - Arm Machine Learning tutorials and examples
lab - A customisable 3D platform for agent-based AI research
ai8x-synthesis - Quantization and Synthesis (Device Specific Code Generation) for ADI's MAX78000 and MAX78002 Edge AI Devices
Nerve - This is a basic implementation of a neural network for use in C and C++ programs. It is intended for use in applications that just happen to need a simple neural network and do not want to use needlessly complex neural network libraries.
EdgeML - This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.
tevr-asr-tool - State-of-the-art (ranked #1 Aug 2022) German Speech Recognition in 284 lines of C++. This is a 100% private 100% offline 100% free CLI tool.
TinyMaix - TinyMaix is a tiny inference library for microcontrollers (TinyML).
willow - Open source, local, and self-hosted Amazon Echo/Google Home competitive Voice Assistant alternative