emlearn / emlearn-micropython
Machine Learning and Digital Signal Processing for MicroPython
Why this job: works in the areas we cover, but does not say which job it does
What it does
- Classification with RandomForest/DecisionTree models
- Classification and on-device learning with K-Nearest Neighbors (KNN)
- Classification with Convolutional Neural Network (CNN), using TinyMaix library.
- Regression and on-device learning with Linear Regression
- Fast Fourier Transform (FFT) for feature preprocessing, or general DSP
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 3 months ago
- Stars
- 169
- +1 this week
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- 0.11.1
- Released 6 months ago
- Built with
- C
- 32% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 67% closed
- 9 still open
- Pull requests
- 36 merged
- 2 waiting
- Releases
- 12
- 4 in the last year
- Contributing guide (opens in new tab)
- No security policy
- No code of conduct
Similar repos
| Repo | Stars | Last commit | Licence | Downloads for |
|---|---|---|---|---|
| gigwegbe / tinyml-papers-and-projects | 1,036 | 11 months ago | MIT | No downloads |
More: languages, topics and project record
Languages
- C 32%
- Python 32%
- Jupyter Notebook 29%
- TeX 4%
Topics
- embedded-systems
- machine-learning
- micropython
- python
- tinyml
Project record
- JobOther AI tools
- StatusListed
- Commits751
- Forks20
- Watching4
- Stars in 28 days+2
- CreatedJul 25, 2023
- First seen by usNov 7, 2026
- CheckedNov 8, 2026