tse-mini-project2

Model Implementation for tse mini project 1

Encoder Decoder Architecture:

Encoder: ggnn_encoder.py

Decoder: ffnn_decoder.py

Steps to run the experiment

1. Clone the repo: git clone https://github.com/rrlcs/tse-mini-project2.git
2. Extract the dataset: gunzip data/dataset.json.gz
3. Train the network: python train.py
4. Evaluate the network: python evaluate.py
5. Plot the losses: python plot.py

This Project is in continuation to tse mini project 1 and is done under the course Topics in Software Engineering at Indian Institute of Science, Guided by Prof. Aditya Kanade and Prof. Shirish Shevde