edgeml
Machine learning (ML) inference on Fastly's Compute@Edge (by doramatadora)
microflow-rs
A Rust TinyML compiler for neural network inference on embedded systems (by matteocarnelos)
edgeml | microflow-rs | |
---|---|---|
1 | 1 | |
12 | 58 | |
- | - | |
0.0 | 7.8 | |
about 1 year ago | about 2 months ago | |
Rust | Rust | |
- | 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.
edgeml
Posts with mentions or reviews of edgeml.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-05-27.
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Newbie Rustacean... I participated in a hackathon at work building demos for WASM/WASI, and I got my demo publicly featured today. It uses tract for an ML inference engine. Such an ace OSS project, and way before I learned of wasi-nn 💖
Yes, using tract, which is a pretty awesome project! Check that out. I just wrote this simplistic demo last year, to test the capabilities of a serverless compute platform — it's all compiled to WebAssembly, running on a server, no binary to download, subject to resource constraints etc (repo if you're curious). ML is not my focus at all, and next I explore it again, it will be in the context of wasi-nn.
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).
What are some alternatives?
When comparing edgeml and microflow-rs you can also consider the following projects:
tract - Tiny, no-nonsense, self-contained, Tensorflow and ONNX inference