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

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

A python package for prototype-based machine learning models

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 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.

A python package for soft feature selection

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.

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

Implementation of the Prototype-Based Joint Embedding Method

Implementation of the Prototype-Based Joint Embedding Method