From 505587dbffb5b2b770c729ab7b05d58820256bac Mon Sep 17 00:00:00 2001
From: lucidrains <lucidrains@gmail.com>
Date: Wed, 21 Feb 2024 08:47:20 -0800
Subject: [PATCH] address
 https://github.com/lucidrains/denoising-diffusion-pytorch/issues/294

---
 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.md b/README.md
index 907cbc86f..100ee6ea3 100644
--- a/README.md
+++ b/README.md
@@ -4,7 +4,7 @@
 
 Implementation of <a href="https://arxiv.org/abs/2006.11239">Denoising Diffusion Probabilistic Model</a> in Pytorch. It is a new approach to generative modeling that may <a href="https://ajolicoeur.wordpress.com/the-new-contender-to-gans-score-matching-with-langevin-sampling/">have the potential</a> to rival GANs. It uses denoising score matching to estimate the gradient of the data distribution, followed by Langevin sampling to sample from the true distribution.
 
-This implementation was transcribed from the official Tensorflow version <a href="https://github.com/hojonathanho/diffusion">here</a>
+This implementation was inspired by the official Tensorflow version <a href="https://github.com/hojonathanho/diffusion">here</a>
 
 Youtube AI Educators - <a href="https://www.youtube.com/watch?v=W-O7AZNzbzQ">Yannic Kilcher</a> | <a href="https://www.youtube.com/watch?v=344w5h24-h8">AI Coffeebreak with Letitia</a> | <a href="https://www.youtube.com/watch?v=HoKDTa5jHvg">Outlier</a>