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Combining Symbolic and Function Evaluation Expressions In Neural Programs

This repository contains the code for this paper

File equationGenerator.ipynb is an iPython notebook that describes the dataset generation method proposed in the paper, and lstmTreeNotebook.ipynb contains the code for training over the generated equations.

For a PyTorch implementation of the models in the paper and our recently released memory-augmented tree-LSTM architecture checkout here

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Combining Symbolic and Function Evaluation Expressions In Neural Programs