From cd8305bc30b765d4022c65e4651544d479be93c5 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Jos=C3=A9=20Manuel=20de=20Frutos?= Date: Sat, 30 Dec 2023 18:56:11 +0100 Subject: [PATCH] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 37b854f..5544f27 100644 --- a/README.md +++ b/README.md @@ -3,7 +3,7 @@ [![Build Status](https://github.com/josemanuel22/MMD_GAN.jl/actions/workflows/CI.yml/badge.svg?branch=main)](https://github.com/josemanuel22/MMD_GAN.jl/actions/workflows/CI.yml?query=branch%3Amain) ## Overview -`MMD_GAN.jl` is a Julia module implementing a [Maximum Mean Discrepancy (MMD) Generative Adversarial Network](https://arxiv.org/pdf/1705.08584.pdf). This module provides functionalities to train GAN models using MMD for measuring the discrepancy between the generated and real data distributions. It is designed for easy experimentation with different hyperparameters and model architectures. +`MMD_GAN.jl` is a Julia module implementing a [Maximum Mean Discrepancy (MMD) Generative Adversarial Network](https://arxiv.org/pdf/1705.08584.pdf). This module provides functionalities to train GAN models using MMD for measuring the discrepancy between the generated and real data distributions. It is designed for easy experimentation with different hyperparameters and model architectures. ## Installation To use MMD_GAN.jl, clone this repository into your local machine. Make sure you have Julia installed and set up on your system.