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PyTorch's implementation of the code2seq model.
A curated list of papers, theses, datasets, and tools related to the application of Machine Learning for Software Engineering
Implementation of the paper "Language-agnostic representation learning of source code from structure and context".
Type4Py: Deep Similarity Learning-Based Type Inference for Python
[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
ComPy-Learn is a framework for exploring program representations for ML4CODE tasks.
Set of PyTorch modules for developing and evaluating different algorithms for embedding trees.
Implementation of 'A Convolutional Attention Network for Extreme Summarization of Source Code' in PyTorch using TorchText
VSCode Extension of Type4Py