Solving the Traveling Salesman Problem using Self-Organizing Maps
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Dec 30, 2019 - Python
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self-organizing-map
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Jun 19, 2020 - Python
Explore high-dimensional datasets and how your algo handles specific regions.
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Python library for Self-Organizing Maps
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Jul 2, 2019 - Python
Python implementation of the Epigenetic Robotic Architecture (ERA). It includes standalone classes for Self-Organizing Maps (SOM) and Hebbian Networks.
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Apr 22, 2019 - Python
A multi-gpu implementation of the self-organizing map in TensorFlow
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Feb 17, 2020 - Python
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runvnc
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Dec 20, 2019
This looks like it could be very powerful, but the examples given are trivial, which is great for showing how to use it, but begs the question, can it actually be effective in more involved applications?
Machine Learning Library, written in J
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Pytorch implementation of a Self-Organizing Map
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Feb 15, 2019 - Python
Codes and Templates from the SuperDataScience Course
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Deep Embedded Self-Organizing Map: Joint Representation Learning and Self-Organization
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May 21, 2020 - Python
SuSi: Python package for unsupervised, supervised and semi-supervised self-organizing maps (SOM)
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May 25, 2020 - Python
Pytorch implementation of Self-Organizing Map(SOM). Use MNIST dataset as a demo.
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Feb 13, 2019 - Python
A photometric redshift monstrosity
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Oct 1, 2018 - Python
Efficient Self-Organizing Map for Sparse Data
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Jun 9, 2019 - C++
Rust library for Self Organising Maps (SOM).
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Autonomous Dynamic Learning Apprentice System
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Dec 10, 2017 - C++
A demo of self-organizing maps using React, TypeScript and three.js
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Apr 27, 2017 - TypeScript
Huge-scale, high-performance flow cytometry clustering in Julia
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May 24, 2020 - Julia
Self-Organizing Map [https://en.wikipedia.org/wiki/Self-organizing_map] is a popular method to perform cluster analysis. SOM shows two main limitations: fixed map size constraints how the data is being mapped and hierarchical relationships are not easily recognizable. Thus Growing Hierarchical SOM has been designed to overcome this issues
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May 13, 2018 - Python
It is Based on Anamoly Detection and by Using Deep Learning Model SOM which is an Unsupervised Learning Method to find patterns followed by the fraudsters.
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Mar 31, 2019 - Jupyter Notebook
tjgalvin
commented
Dec 2, 2019
I see in the FILE_FORMATS.md file that there are descriptions of the header information of each type of binary file.
Can we expand this to clearly specify the order in which the corresponding arrays (SOMs, neurons, transforms etc) are written to this files? Although that are example codes that show examples of reading these they can be a little difficult to follow and transplant into other c
Implementation of Artificial Intelligence models without using any blackbox or libraries 😎
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Nov 22, 2018 - Python
Pytorch extension implementing LISSOM network and Topographica features
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Oct 21, 2018 - Python
Complete C implementation of the Kohonen Neural Network (SOM algorithm)
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May 5, 2019 - C
College students organised on a self-organising map based on indicators related to personality traits
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Jan 19, 2019 - Python
FlowSOM algorithm in Python, using self-organizing maps and minimum spanning tree for visualization and interpretation of cytometry data
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Dec 16, 2019 - Python
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Figure 2: This shows how a basic Frontend implementation with Qt may look like. In the example just back propagation networks are used.