EileenWang1228's Stars
m3yrin/code2seq
Re-implementation of "CODE2SEQ: GENERATING SEQUENCES FROM STRUCTURED REPRESENTATIONS OF CODE"
tech-srl/code2seq
Code for the model presented in the paper: "code2seq: Generating Sequences from Structured Representations of Code"
xing-hu/EMSE-DeepCom
The dataset for EMSE-DeepCom
zetang94/ICSE2022_AST_Trans
This is the official implementation of paper "AST-Trans: Code Summarization with Efficient Tree-StructuredAttention" acceptted in ICSE 2022
DeepSoftwareAnalytics/CodeSumEvaluation
Replication package for ICSE2022 paper: On the Evaluation of Neural Code Summarization
c2nes/javalang
Pure Python Java parser and tools
Rick-Feng-u/Deep-code-comment-generation
This is repo is trying to recreate the paper(X. Hu et al. (2020). Deep code comment generation with hybrid lexical and syntactical information. Empirical Software Engineering, 25():2179-2217.)
LRNavin/AutoComments
Description: We want to create a deep Neural Network that can automatically generate comments for code snippets passed to it. The motivation behind this is that in software development and maintenance, developers spend around 59% of their time on program comprehension activities. Having comments that are generated automatically will hopefully cut this time down. In order to do this we will combine the recent paper Code2Vec: Learning Distributed Representations of Code by Alon et al. with the paper Deep Code Comment Generation in order to make a better performing model using the newer Code2Vec encoding that was not used in the Deep Code Comment Generation paper. Dataset: The dataset that we will use is the same dataset used by the Deep Code Comment Generation paper, this is a dataset of more than 500,000 code snippets including comments. This also gives us a baseline against which to compare. Papers: Deep Code: https://xin-xia.github.io/publication/icpc182.pdf Code2Vec: https://arxiv.org/abs/1803.09473
github/CodeSearchNet
Datasets, tools, and benchmarks for representation learning of code.
NougatCA/Hybrid-DeepCom-in-Pytorch
Hybrid-DeepCom implemented by Pytorch
DeepSoftwareAnalytics/CAST
Replication package for EMNLP 2021 paper: CAST: Enhancing Code Summarization with Hierarchical Splitting and Reconstruction of Abstract Syntax Trees
greebear/deeplearning.ai-notes
吴恩达《深度学习》学习笔记(xmind)、代码视频讲解