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research/differential_privacy/README.md

 <font size=4><b>Deep Learning with Differential Privacy</b></font>
 
-Open Sourced By: Xin Pan (xpan@google.com, github: panyx0718)
+Open Sourced By: Xin Pan
 
 
 ### Introduction for [dp_sgd/README.md](dp_sgd/README.md)

research/lm_1b/README.md

@@ -3,7 +3,7 @@
 <b>Authors:</b>
 
 Oriol Vinyals (vinyals@google.com, github: OriolVinyals),
-Xin Pan (xpan@google.com, github: panyx0718)
+Xin Pan
 
 <b>Paper Authors:</b>
 

research/next_frame_prediction/README.md

@@ -8,7 +8,7 @@ This is an implementation based on my understanding, with small
 variations. It doesn't necessarily represents the paper published
 by the original authors.
 
-Authors: Xin Pan (Github: panyx0718), Anelia Angelova
+Authors: Xin Pan, Anelia Angelova
 
 <b>Results:</b>
 

research/resnet/README.md

 <font size=4><b>Reproduced ResNet on CIFAR-10 and CIFAR-100 dataset.</b></font>
 
-contact: panyx0718 (xpan@google.com)
+Xin Pan
 
 <b>Dataset:</b>
 

research/textsum/README.md

@@ -2,7 +2,7 @@ Sequence-to-Sequence with Attention Model for Text Summarization.
 
 Authors:
 
-Xin Pan (xpan@google.com, github:panyx0718),
+Xin Pan
 Peter Liu (peterjliu@google.com, github:peterjliu)
 
 <b>Introduction</b>