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.

A python package 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.

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

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

A python project for prototype-based feature selection

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.

A python package for soft feature selection

End-to-end implementation of banknotes authentication using advanced prototype-based model classification by components model dockerized and deployed on the Heroku platform as a service cloud.

Prototype based ML implementation for Multiple reject thresholds for improving classification reliability

End-to-end implementation of Malaria detection using deep-cnn prior feature map extractor plus svm, rf, xgboost, rslvq and celvq with options for soft and hard ensemble for the prototype-based models using prosemble ML package