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 Soft Feature Selection Package.

Code for the Paper Prototype-based Feature selection with the Nafes Package

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

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