SLID-on-Microcontrollers
Speech Classification using a Convolutional Neural Network running on a Microcontroller (by matvogel)
adorad
Fast, Expressive, & High-Performance Programming Language for those who dare (by adorad)
SLID-on-Microcontrollers | adorad | |
---|---|---|
1 | 5 | |
1 | 60 | |
- | - | |
10.0 | 1.8 | |
over 1 year ago | about 2 years 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.
adorad
Posts with mentions or reviews of adorad.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-09-17.
What are some alternatives?
When comparing SLID-on-Microcontrollers and adorad you can also consider the following projects:
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
lux - The Lux Programming Language