Popular GitHub Repositories for Self Organizing Map

:red_circle: MiniSom is a minimalistic implementation of the Self Organizing Maps

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

A multi-gpu implementation of the self-organizing map in TensorFlow

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

Codes and Templates from the SuperDataScience Course

Rust library for Self Organising Maps (SOM).

Visualize a corpus of texts as a landscape with the aid of text mining, graph visualization and self-organizing maps

Machine Learning (ML) research within medicine and healthcare represents one of the most challenging domains for both engineers and medical specialists. One of the most desired tasks to be accomplished using ML applications is represented by disease detection. A good example of such a task is the detection of genetic abnormalities like Down syndrome, Klinefelter syndrome or Hemophilia. Usually, clinicians are doing chromosome analysis using the karyotype to detect such disorders. The main contribution of the current article consists of introducing a new approach called KaryML Framework, which is extending our previous research: KarySOM: An Unsupervised Learning based Approach for Human Karyotyping using Self-Organizing Maps . Our major goal is to provide a new method for an automated karyotyping system using unsupervised techniques. Addit

Autonomous Dynamic Learning Apprentice System

A flexible, fast and scalable python library for Self-Organizing Maps

High Frequency Time series Anomaly Detection using Self Organizing Maps (SOM) which is based on Competitive Learning a variant of the Neural Networks using K Nearest Neighbors

NeuralMap is a data analysis tool based on Self-Organizing Maps

This app is intended to dynamically integrate machine learning techniques to explore multivariate data sets.

Implementation of SOMs (Self-Organizing Maps) with neighborhood-based map topologies.

What does English language look like if we print it on a 2D map? here is a clustering of 300k words on top on SOM applied to Word2Vec embeddings

This repository contains all the Google Colab Notebooks where I have implemented different Neural Networks like ANN, CNN, RNN, and also other Deep Learning models such as Self-organizing Maps, Autoencoders, Boltzmann Machines, etc.

This project is one of the Computational Intelligence course projects in the spring of 2023, and it includes code related to training neural networks with gradient descent, training neural network using neuroevolution, Neural Architecture Search (NAS), and Self-Organizing Maps (SOM)