Implementation of Deep Galerkin Method(DGM),getting DGM to work on the Framework of a LSTM network

I am looking for someone to recreate the code from the following paper with one working example [login to view URL]~ali/papers/PDEandDeepLearning.pdf#chapter.1 I am interested in an implementation of 6.5 (and possibly 6.2) This is a deep learning code written in Python/ Tensorflow. [login to view URL] This is the url where you can see them Each Notebook's 1st cell has a description of what the Notebook is about: LSTM-stocks-prediction: Contains a LSTM model written from scratch in Tensorflow - this illustrates how LSTM cells work - it is my opinion that someone more versed than me will easily be able to convert this model to a DGM. LSTM-Neural-Network-for-Time-Series-Prediction: Contains a more sophisticated LSTM model PDE_DGM: Contains a very basic LSTM in Keras and Tensorflow