matteocarnelos / microflow-rs
A robust and efficient TinyML inference engine.
Why this job: says: inference engine; topics: inference-engine
What it does
MicroFlow is a robust and efficient TinyML inference engine designed for deploying machine learning models on embedded systems. It was developed by Matteo Carnelos as part of his master's thesis project at the University of Padova in collaboration with Grepit AB.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 5 months ago
- Stars
- 197
- On GitHub
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v0.1.3
- Released 2 years ago
- Built with
- Rust
- 97% of the code
Is it looked after?
- Contributors
- 0
- Last 90 days
- Issues
- 40% closed
- 3 still open
- Pull requests
- 6 merged
- 7 waiting
- Releases
- 3
- 0 in the last year
- No contributing guide
- No security policy
- No code of conduct
Similar repos
| Repo | Stars | Last commit | Licence | Downloads for |
|---|---|---|---|---|
| qualcomm / ai-hub-models | 1,259 | today | BSD-3-Clause | No downloads |
| xLLM-AI / xllm | 1,619 | yesterday | Apache-2.0 | No downloads |
| InferMatrixLab / vllm-rlt | 221 | 4 days ago | Apache-2.0 | No downloads |
More: languages, topics and project record
Languages
- Rust 97%
- Jupyter Notebook 3%
Topics
- inference-engine
- machine-learning
- rust
- tensorflow-lite
- tinyml
Project record
- JobLocal LLMs
- StatusListed
- Commits120
- Forks32
- Watching4
- Stars in 28 days+2
- CreatedFeb 17, 2023
- First seen by usNov 7, 2026
- CheckedNov 7, 2026