From e1800c1a8db40a74454170ba8662ba76975b7927 Mon Sep 17 00:00:00 2001
From: Phil Wang <lucidrains@gmail.com>
Date: Sun, 6 Sep 2020 14:26:12 -0700
Subject: [PATCH] remove wip, seems to be working

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

diff --git a/README.md b/README.md
index 56b7fbe..0f9723f 100644
--- a/README.md
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@@ -1,6 +1,6 @@
 <img src="./denoising-diffusion.png" width="500px"></img>
 
-## Denoising Diffusion Probabilistic Model, in Pytorch (wip)
+## Denoising Diffusion Probabilistic Model, in Pytorch
 
 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>.