Add links to source of data & coauthors in README

README.md

@@ -1,8 +1,11 @@
 # The Way You Move
 
 TWYM is a final project for Neural Networks and Deep Learning course.
-It is based on data from Sussex-Huawei Locomotion Challenge.  
+It is based on data from [Sussex-Huawei Locomotion Challenge](http://www.shl-dataset.org/challenges/).  
 In this contest, participants try to predict one of eight locomotion modes (Still, Walk, Run, Bike, Car, Bus, Train, Subway) based on readings from various sensors, such as accelerometer or gyroscope.  
-Maria Wyrzykowska, Grzegorz Maliniak an I wanted to compare state-of-the-art IndRNN model of one of the winners with approach in which we classified time series based on their plots with Siamese CNN.  
+We wanted to compare state-of-the-art IndRNN model of one of the winners with approach in which we classified time series based on their plots with Siamese CNN.  
 
 The repository contains a report describing our approach and results.
+
+## Authors
+[Maria Wyrzykowska](https://github.com/Ruruthia), [Grzegorz Maliniak](https://github.com/Gizmon99), [Adrian Urbański](https://github.com/AdrianUrbanski)