prototype-based-models

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

Case-based interpretable deep learning for ECG classification. This code implements ProtoECGNet from the following paper: "ProtoECGNet: Case-Based Interpretable Deep Learning for Multi-Label ECG Classification." Sethi et al., MLHC 2025

[CVPR 2024] Official Repository for MCPNet: An Interpretable Classifier via Multi-Level Concept Prototypes

A python package for prototype-based machine learning models

A python project for prototype-based feature selection

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

Case-based interpretable deep learning for ECG classification. This code implements ProtoECGNet from the following paper: "ProtoECGNet: Case-Based Interpretable Deep Learning for Multi-Label ECG Classification." Sethi et al., MLHC 2025

Code for the paper Mutation Validation for Learning Vector Quantization.

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 LREC26 paper "HatePrototypes: Interpretable and Transferable Representations for Implicit and Explicit Hate Speech Detection"

code for the paper Beyond Neural scaling laws for fast proven robust certification of nearest prototype classifiers

This project incorporates the drawbacks and difficulties of physical computing through building and coding a simple alarm clock. This clock allows the user to set an alarm and see the current time. It uses soldering, laser cutting, coding, and wiring to accomplish this.

A python package for soft feature selection

[TPAMI 2026] Official Repository for MCPNet++: An Interpretable Classifier via Multi-Level Concept Prototypes

Implementation of the Prototype-Based Joint Embedding Method

Implementation of the Prototype-Based Joint Embedding Method