Terraform setup for BTP Trial

Radio propagation modelling

Code for the model presented in the paper: "code2seq: Generating Sequences from Structured Representations of Code"

A javac plugin for extracting a feature graph for plugging in to machine learning models

A collection of useful .gitignore templates

Re-implementation and extension of the work described in "Learning to Represent Programs with Graphs"

TensorFlow code for the neural network presented in the paper: "code2vec: Learning Distributed Representations of Code"

Deeplearning4j Examples (DL4J, DL4J Spark, DataVec)

Implementation of 'A Convolutional Attention Network for Extreme Summarization of Source Code' in PyTorch using TorchText

Modeling tool for generating graphical modeling environments.