NeuPy is a Tensorflow based python library for prototyping and building neural networks

Implementation of Beyond Neural Scaling beating power laws for deep models and prototype-based models

ProtoTorch is a PyTorch-based Python toolbox for bleeding-edge research in prototype-based machine learning algorithms.

🧠 Java Machine-Learning framework for model training, evaluation, deployment, tuning and benchmarking!

A python project for prototype-based machine learning models

Prototype based ML implementation for ascertaing the confidence of predicted labels from the Learning Vector Quantization family of advanced machine learning classification algorithms.

Saran Tani is a system developed to help farmers optimize their land resources to provide maximum productivity in agriculture.

A simple demo of LVQ4J usage on the Iris Data Set

ProtoFlow is a TensorFlow-based Python toolbox for bleeding-edge research in prototype-based machine learning algorithms.

A python project for prototype-based feature selection

Multilayer Perceptron (MLP) and Learning Vector Quantization (LVQ) implementations in Java.

machin inspection for pcb defects using computer vision and classifing it using neuralnetworks

Prototype-based Feature selection with the Nafes Package

Prototype-Based Soft Feature Selection Package

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

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

Code for the paper Mutation Validation for Learning Vector Quantization.

Learning active instances on the border in the case of imbalanced data classification task.

Gray Level Co-occurrence Matrix (GLCM) dan menggunakan Learning Vector Quantization (LVQ) sebagai Metode Klasifikasi

Classification methods applied to an imbalanced big dataset