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MAST's Projects

bilm-tf icon bilm-tf

Tensorflow implementation of contextualized word representations from bi-directional language models

codemining-utils icon codemining-utils

Utility classes for serialization, parameter loading, sampling and math

convolutional-attention icon convolutional-attention

Repository for the code of the "A Convolutional Attention Network for Extreme Summarization of Source Code" paper

deepsstubs icon deepsstubs

DeepSStuBs is a framework for learning single statement bug detectors from an existing code corpus.

eqnet icon eqnet

Code related to "Learning Continuous Semantic Representations of Symbolic Expressions" project.

js-analyser-util icon js-analyser-util

Util package to analyse instrumented and collected data from Node.JS projects

js-random-tester icon js-random-tester

JS Random testing tool and new Definition File creator using old versions

minesstubs icon minesstubs

Hosts our tool for mining simple "stupid'' bugs (SStuBs).

nlptools icon nlptools

A set of NLP tools that may be useful when processing text

openvocabcodenlm icon openvocabcodenlm

Contains the code for our ICSE 2020 paper: Big Code != Big Vocabulary: Open-Vocabulary Language Models for Source Code and for its earlier pre-print: Maybe Deep Neural Networks are the Best Choice for Modeling Source Code (https://arxiv.org/abs/1903.05734). This is the first open vocabulary language model for code that uses the byte pair encoding algorithm (BPE) to learn a segmentation of code tokens into subword units.

tassal icon tassal

Tree-based Autofolding Software Summarization Algorithm

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