Solving the Traveling Salesman Problem using Self-Organizing Maps
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Updated
Dec 24, 2023 - Python
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
Radxa SoM carrier board design files + agentic hardware-db
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
Mark web pages for use with vision-language models
Vision-grounding plugin for browser-use agents with SoM, Florence-2, Vision–DOM alignment, adaptive visual context, and objective evaluation.
Recursive Self-Organizing Map/Neural Gas.
Using Self-Organizing Maps for Travelling Salesman Problem
Pytorch implementation of Self-Organizing Map(SOM). Use MNIST dataset as a demo.
🌐 SOMperf: Self-organizing maps performance metrics and quality indices
Browser engine for agents. HTML in, structured Semantic Object Model out. Native MCP and AWP with a supported CDP subset. Apache-2.0.
Huge-scale, high-performance flow cytometry clustering in Julia
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