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

Implementation of SOM and GSOM

Using Self-Organizing Maps for Travelling Salesman Problem

Parallelized rotation and flipping INvariant Kohonen maps

C implementation of the Kohonen Neural Network (SOM algorithm)

Computation Graph framework implemented using only NumPy

XPySom-dask is a minimalistic implementation of batch Self Organizing Map algorithm using Dask. This is a mirror of the original XPySom.

Official repository for the paper "Topological Neural Discrete Representation Learning à la Kohonen" (ICML 2023 Workshop on Sampling and Optimization in Discrete Space)

A simple and scaleable Self Organizing Map implementation written in VHDL. Tested on ARTYA7-35T board.

Implementations of Machine Learning algorithms in Python

A C# implementation of a Self Organizing Map

Package provides java implementation of self-organizing feature map (Kohonen map)

Implementing Kohonen Self Organizing Maps using Gaussian distribution neighbor function

A Self-organizing Maps (SOM) / Kohonen networks library and command line tool in Rust.

C# based experiment with self-organizing maps

This repository contains various networks implementation such as MLP, Hopfield, Kohonen, ART, LVQ1, Genetic algorithms, Adaboost and fuzzy-system, CNN with python.

SOM_PAK with LVQ_PAK: The Self-Organizing Map and Learning Vector Quantization Program Packages

Developing Kohonen Self organizing maps algorithm from scratch in python

Kohonen Self-Organizing Maps (SOMs) for dimensionality reduction, data embedding, and solving a variant of the travelling salesman problem.

📘 dimensionality reduction algorithms