microflow-rs
A Rust TinyML compiler for neural network inference on embedded systems (by matteocarnelos)
diy-alexa
DIY Alexa (by atomic14)
| microflow-rs | diy-alexa | |
|---|---|---|
| 1 | 4 | |
| 59 | 483 | |
| - | 2.7% | |
| 7.8 | 3.4 | |
| 3 months ago | 6 months ago | |
| Rust | Jupyter Notebook | |
| Apache License 2.0 | 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.
microflow-rs
Posts with mentions or reviews of microflow-rs.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-01-16.
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TinyML: Ultra-low power Machine Learning
I built a Rust TinyML compiler for my master thesis project: https://github.com/matteocarnelos/microflow-rs
It uses Rust procedural macros to evaluate the model at compile time and create a predict() function that performs inference on the given model. By doing so, I was able to strip down the binary way more than TensorFlow Lite for Microcontrollers and other engines. I even managed to run a speech command recognizer (TinyConv) on an 8-bit ATmega328 (Arduino Uno).
diy-alexa
Posts with mentions or reviews of diy-alexa.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-01-16.
-
TinyML: Ultra-low power Machine Learning
This my voice controlled robot: https://github.com/atomic14/voice-controlled-robot
It does left, right, forward and backward. That was pretty much all I could fit in the model.
And here’s wake word detection: https://github.com/atomic14/diy-alexa
It does local wake word detection on device.
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Phrase recognition on a tiny battery powered device
Nano's don't have the horsepower. ESP32's can sort of do it. atomic14 has the best ESP32 audio-related stuff.
- World’s First ChatGPT Smartwatch
- Building a project that will use hot words detection and reply to them. Does this hardware list makes sense or should I change some of the components?
What are some alternatives?
When comparing microflow-rs and diy-alexa you can also consider the following projects:
uSpeech - Speech recognition toolkit for the arduino
voice-controlled-robot - A voice-controlled robot using the ESP32 and TensorFlow Lite