Solving the Traveling Salesman Problem using Self-Organizing Maps

🔴 MiniSom is a minimalistic implementation of the Self Organizing Maps

NeuPy is a Tensorflow based python library for prototyping and building neural networks

Log Anomaly Detection - Machine learning to detect abnormal events logs

Self organizing Kohonen map in Python with periodic boundary conditions

SuSi: Python package for unsupervised, supervised and semi-supervised self-organizing maps (SOM)

🌐 Deep Embedded Self-Organizing Map: Joint Representation Learning and Self-Organization

Python implementation of the Epigenetic Robotic Architecture (ERA). It includes standalone classes for Self-Organizing Maps (SOM) and Hebbian Networks.

Implementation of SOM and GSOM

SOMns: A Newspeak for Concurrency Research

Recursive Self-Organizing Map/Neural Gas.

Pytorch implementation of Self-Organizing Map(SOM). Use MNIST dataset as a demo.

Using Self-Organizing Maps for Travelling Salesman Problem

Rust library for Self Organising Maps (SOM).

🌐 SOMperf: Self-organizing maps performance metrics and quality indices

Huge-scale, high-performance flow cytometry clustering in Julia

FlowSOM algorithm in Python, using self-organizing maps and minimum spanning tree for visualization and interpretation of cytometry data

Fast embedding ot multidimensional datasets, great for cytometry data

A tiny 16x16x2mm SoM with a powerful chip that runs mainline Linux.

Parallelized rotation and flipping INvariant Kohonen maps