NeuPy is a Tensorflow based python library for prototyping and building neural networks
ProtoTorch is a PyTorch-based Python toolbox for bleeding-edge research in prototype-based machine learning algorithms.
Implementation of Beyond Neural Scaling beating power laws for deep models and prototype-based models
code for the paper Beyond Neural scaling laws for fast proven robust certification of nearest prototype classifiers
A python project for prototype-based feature selection
ProtoFlow is a TensorFlow-based Python toolbox for bleeding-edge research in prototype-based machine learning algorithms.
A simple demo of LVQ4J usage on the Iris Data Set
Iris classification using Learning Vector Quantization 3 (LVQ 3) and its comparison with K-NN and Random Forest
Master Thesis on Determining of Classification Label Security/Certainty
Building a Learning Vector Quantization 1 (LVQ1) network
Code for the Paper Prototype-based Feature selection with the Nafes Package
Code for the paper Mutation Validation for Learning Vector Quantization.
Implementations of perceptron algorithm with 2 hidden layers, learning vector quantization, k-means clustering algorithm, for the course Computational Intelligence @uoi
machin inspection for pcb defects using computer vision and classifing it using neuralnetworks
LVQ (Learning Vector Quantization) library for Java
Code for the paper Learning on the border: active learning in imbalanced data classification.
Classification methods applied to an imbalanced big dataset
SOM_PAK with LVQ_PAK: The Self-Organizing Map and Learning Vector Quantization Program Packages
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