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Found 3 papers, 2 papers with code
DeepVS: An Efficient and Generic Approach for Source Code Modeling Usage
The source code suggestions provided by current IDEs are mostly dependent on static type learning.
Deep Transfer Learning for Source Code Modeling
A challenging issue of these approaches is that they require training from starch for a different related problem.
CodeGRU: Context-aware Deep Learning with Gated Recurrent Unit for Source Code Modeling
We evaluate CodeGRU with real-world data set and it shows that CodeGRU outperforms the state-of-the-art language models and help reduce the vocabulary size up to 24. 93\%.
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