Merge branch 'master' of ssh://77.237.77.227:3001/omranpour/CSI-Pytorch

README.md

@@ -1,13 +1,15 @@
 # CSI-Code
-This project is a pytorch implementation of the paper [CSI: A Hybrid Deep Model for Fake News Detection"](https://dl.acm.org/citation.cfm?id=3132877)
+This project is a pytorch implementation of the paper [CSI: A Hybrid Deep Model for Fake News Detection"](https://dl.acm.org/citation.cfm?id=3132877).
+
 Several modifications have been made on the [original code](https://github.com/sungyongs/CSI-Code) including:
-    - minor bugs were fixed
-    - code is cleaner, standard, organized, and more understandable
-    - the main model is reimplemented using Pytorch and Pytorch_lightning
-    - training is integrated with Ray Tune for the sake of hyperparameter tuning
+
+- minor bugs were fixed
+- code is cleaner, standard, organized, and more understandable
+- the main model is reimplemented using Pytorch and Pytorch_lightning
+- training is integrated with Ray Tune for the sake of hyperparameter tuning
     
     
 ## Getting started
-1. First, use the [data preprocessing notebook]() to prepare your data for the model. You should apply the code for different splits separately.
+1. First, use the [data preprocessing notebook](data preprocessing.ipynb) to prepare your data for the model. You should apply the code for different splits separately.
 
-2. Then, use the [train notebook]() to train your model and see the results.
+2. Then, use the [train notebook](train.ipynb) to train your model and see the results.