This project demonstrates the use of nsepy libray for extracting data related to Indian stocks and subsequently using Pytorch LSTMs for building a time series forecasting model in order to predict future prices given current price / past n days prices.
In order to get a detailed overview of this project, please refer this medium article.
This application lets you experiment with different hyperparameters for building a pytorch model with different NSE stocks which you can select and check for yourself. A small description of the hyperparameters is provided below.