JustGlowing / minisom
:red_circle: MiniSom is a minimalistic implementation of the Self Organizing Maps
Why this job: matched by what the repo talks about: red, map, self, implementation
What it does
MiniSom is a minimalistic and Numpy based implementation of the Self Organizing Maps (SOM) with optional JIT acceleration via Numba. SOM is a type of Artificial Neural Network able to convert complex, nonlinear statistical relationships between high-dimensional data items into simple geometric relationships on a low-dimensional display. Minisom is designed to allow researchers to easily build on top of it and to give students the ability to quickly grasp its details.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 24 days ago
- Stars
- 1,611
- +2 this week
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- 2.3.6
- Released 9 months ago
- Built with
- Python
- 100% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 93% closed
- 11 still open
- Pull requests
- 40 merged
- 4 waiting
- Releases
- 8
- 1 in the last year
- No contributing guide
- No security policy
- No code of conduct
More: languages, topics and project record
Languages
- Python 100%
Topics
- machine-learning
- vector-quantization
- som
- neural-networks
- unsupervised-learning
- manifold-learning
- self-organizing-map
- clustering
- outlier-detection
- dimensionality-reduction
- kohonen
Project record
- JobAI security
- StatusListed
- Commits691
- Forks446
- Watching32
- Stars in 28 days+4
- CreatedJul 3, 2013
- First seen by usNov 7, 2026
- CheckedNov 8, 2026