SLID-on-Microcontrollers
Speech Classification using a Convolutional Neural Network running on a Microcontroller (by matvogel)
tinyengine
[NeurIPS 2020] MCUNet: Tiny Deep Learning on IoT Devices; [NeurIPS 2021] MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning; [NeurIPS 2022] MCUNetV3: On-Device Training Under 256KB Memory (by mit-han-lab)
| SLID-on-Microcontrollers | tinyengine | |
|---|---|---|
| 1 | 3 | |
| 1 | 742 | |
| - | 3.4% | |
| 10.0 | 5.6 | |
| over 1 year ago | about 2 months ago | |
| C | C | |
| MIT License | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
SLID-on-Microcontrollers
Posts with mentions or reviews of SLID-on-Microcontrollers.
We have used some of these posts to build our list of alternatives
and similar projects.
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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.
tinyengine
Posts with mentions or reviews of tinyengine.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-11-14.
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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?
When comparing SLID-on-Microcontrollers and tinyengine you can also consider the following projects:
adorad - Fast, Expressive, & High-Performance Programming Language for those who dare
prnf - A lightweight tiny printf alternative. With some reasonable limitations, extensions, and alternative behaviour suited to microcontrollers.