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 package for prototype-based machine learning models

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

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

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

Code for the paper Learning on the border: active learning in imbalanced data classification.

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

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

A python project for prototype-based feature selection

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 Prototype-based Feature selection with the Nafes Package

Code for the paper Prototype-Based Soft Feature Selection Package.

Code for the paper Mutation Validation for Learning Vector Quantization.

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

A python package for soft feature selection