susi
minisom
| susi | minisom | |
|---|---|---|
| 1 | 3 | |
| 102 | 1,388 | |
| - | - | |
| 6.5 | 8.4 | |
| about 1 month ago | 7 days ago | |
| Python | Python | |
| BSD 3-clause "New" or "Revised" License | MIT License |
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.
susi
minisom
- How to use MiniSOM (Self Organizing Maps) Library
- [P][D] Self Organizing Maps
-
[OC] Animation of a Self Organizing Map
I made this animation because I could not find a single decent demonstration of a SOM map on the internet, especially considering how popular it is becoming. I used the python library Pyvista for 3D plotting and creating the animation, and I used the minisom library for running the SOM.
What are some alternatives?
alibi-detect - Algorithms for outlier, adversarial and drift detection
umap - Uniform Manifold Approximation and Projection
cleanlab - The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
somoclu - Massively parallel self-organizing maps: accelerate training on multicore CPUs, GPUs, and clusters
trackball-python - Python library for the Pimoroni Track Ball Breakout
sparse-som - Efficient Self-Organizing Map for Sparse Data
tinyHTTPie - TinyHTTPie is the Product of the Multi-Part Series "The Evolution of a Script".
DBCV - Python implementation of Density-Based Clustering Validation
som-tsp - Solving the Traveling Salesman Problem using Self-Organizing Maps
n2d - A deep clustering algorithm. Code to reproduce results for our paper N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding.