Implementation of Beyond Neural Scaling beating power laws for deep models and prototype-based models
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Updated
Aug 15, 2024 - Python
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.
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
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