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CSI-Pytorch
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A PyTorch implementation of the paper "CSI: a hybrid deep neural network for fake news detection"
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README.md

CSI-Code

This project is a pytorch implementation of the paper CSI: A Hybrid Deep Model for Fake News Detection” Several modifications have been made on the original 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

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.

  2. Then, use the [train notebook]() to train your model and see the results.