A graph based bug classifier using the dgl library and DeepBugs dataset
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Updated
Oct 25, 2021 - Python
A graph based bug classifier using the dgl library and DeepBugs dataset
Neural Data-Flow Analysis: A tool for solving program-related tasks which involve data-flow analysis using deep neural networks
[SANER 2023] "CLAWSAT: Towards Both Robust and Accurate Code Models" by Jinghan Jia*, Shashank Srikant*, Tamara Mitrovska, Chuang Gan, Shiyu Chang, Sijia Liu, Una-May O'Reilly
Code and data for "Impact of Evaluation Methodologies on Code Summarization" in ACL 2022.
A graph based bug classifier using the dgl library and DeepBugs dataset
Set of PyTorch modules for developing and evaluating different algorithms for embedding trees.
[ICLR 2021] "Generating Adversarial Computer Programs using Optimized Obfuscations" by Shashank Srikant, Sijia Liu, Tamara Mitrovska, Shiyu Chang, Quanfu Fan, Gaoyuan Zhang, and Una-May O'Reilly
Fixes Java syntax errors with LSTM neural networks! [proof-of-concept]
Implementation of 'A Convolutional Attention Network for Extreme Summarization of Source Code' in PyTorch using TorchText
ComPy-Learn is a framework for exploring program representations for ML4CODE tasks.
PyTorch's implementation of the code2seq model.
Implementation of the paper "Language-agnostic representation learning of source code from structure and context".
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