Code for the model presented in the paper: "code2seq: Generating Sequences from Structured Representations of Code"
-
Updated
Jun 30, 2026 - Python
GeezerVisonThe World Wide Web, restored to 800 pixels of glory. |
| Home|About|Gaming cabinet|Archives|How it works|Starter sites |
GeezerVison is showing github.com — Build software better, together
#
code2seqHere are 6 public repositories matching this topic...Code for the model presented in the paper: "code2seq: Generating Sequences from Structured Representations of Code"
PyTorch's implementation of the code2seq model.
[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
seq2seq program-analysis combinatorial-optimization adversarial-machine-learning ml4code big-code differentiable-programming code2seq ml4se ai4code
The aim of this project is to improve the experience of developers with poorly documented code, when reaching out to the original authors is not an option.
PyTorch implementation of code2class network - a combination of code2vec and code2seq. Based on the implementation https://github.com/bentrevett/code2vec.
Add this topic to your repoTo associate your repository with the code2seq topic, visit your repo's landing page and select "manage topics." |
| You are visitor 01402503 — GeezerVison does not store the pages you look up. Best viewed with Netscape Navigator 4.7 or Internet Explorer 6 at 800×600. No cookies required. |