From d09da11b8d58a4378b1c3b1b5e3443b4e2a134cf Mon Sep 17 00:00:00 2001
From: masadcv <3410225+masadcv@users.noreply.github.com>
Date: Mon, 15 Mar 2021 23:35:50 +0000
Subject: [PATCH] updating links with new username

---
 README.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/README.md b/README.md
index 42c74c2..a1a8019 100644
--- a/README.md
+++ b/README.md
@@ -8,7 +8,7 @@ This repository provides official pytorch implementation of PROPEL.
 # Installation Instructions
 PROPEL can be installed using the following command 
 ```bash
-pip install git+https://github.com/masaddev/PROPEL.git
+pip install git+https://github.com/masadcv/PROPEL.git
 ```
 
 # Usage Example
@@ -42,7 +42,7 @@ L = propel_loss(feat, y)
 print(L)
 ```
 # Documentation
-Further details of each function implemented for PROPEL can be accessed at the documentation hosted at: [https://masaddev.github.io/PROPEL/index.html](https://masaddev.github.io/PROPEL/index.html). 
+Further details of each function implemented for PROPEL can be accessed at the documentation hosted at: [https://masadcv.github.io/PROPEL/index.html](https://masadcv.github.io/PROPEL/index.html). 
 
 # Citing PROPEL
 Pre-print of PROPEL can be found at: [PROPEL: Probabilistic Parametric Regression Loss for Convolutional Neural Networks](https://arxiv.org/pdf/1807.10937.pdf)