microflow-rs
A Rust TinyML compiler for neural network inference on embedded systems (by matteocarnelos)
rune
Rune provides containers to encapsulate and deploy edgeML pipelines and applications (by hotg-ai)
microflow-rs | rune | |
---|---|---|
1 | 1 | |
59 | 132 | |
- | 0.0% | |
7.8 | 0.0 | |
2 months ago | almost 2 years ago | |
Rust | Rust | |
Apache License 2.0 | Apache License 2.0 |
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.
-
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).
rune
Posts with mentions or reviews of rune.
We have used some of these posts to build our list of alternatives
and similar projects.
-
Introducing hotg.dev - open ideas meets open source
I believe the URL https://github.com/hotg-ai/rune is not correct on the page. There is a %20 before the https on the site: http://%20https//github.com/hotg-ai/rune
What are some alternatives?
When comparing microflow-rs and rune you can also consider the following projects:
rust - Empowering everyone to build reliable and efficient software.
rust-aluvm - Rust implementation of AluVM (RISC functional machine)
esi - A streaming Edge Side Includes parser and executor designed for Fastly Compute.