JY0284 / code_completion_as_human_action_prediction

This repository contains the core methods and models described in the paper “Represent Code as Action Sequence for Predicting Next Method Call.” It uses action sequence modeling to predict method calls in Python code based on developer intentions, treating code editing as a sequence of human-like actions.

Date Created 2021-12-17 (2 years ago)
Commits 9 (last one 2 months ago)
Stargazers 73 (0 this week)
Watchers 1 (0 this week)
Forks 0
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RepositoryStats indexes 584,777 repositories, of these JY0284/code_completion_as_human_action_prediction is ranked #359,633 (39th percentile) for total stargazers, and #536,275 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #67,577/116,437.

JY0284/code_completion_as_human_action_prediction is also tagged with popular topics, for these it's ranked: machine-learning (#5,536/7935),  llm (#1,758/2734)

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updated: 2024-09-25 @ 09:32am, id: 439176293 / R_kgDOGi1MZQ