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Dynamic Activation Functions

This repository contains code to reproduce results from the paper https://arxiv.org/abs/2503.21708.

1. Preparation

Create and Activate a Virtual Environment

# e.g. using conda
conda create -n dyaf python=3.11
conda activate dyaf

Install Dependencies

pip install numpy scipy matplotlib scienceplots jupyter

2. Usage

Run notebook server

jupyter notebook

The notebook Dynamic_Activation_Functions.ipynb can be used to reproduce the data, results and figures from the paper.