ai4code
There are 5 repositories under ai4code topic.
- Language:Python 2051
salesforce / CodeTF
CodeTF: One-stop Transformer Library for State-of-the-art Code LLM
Language:Python 1476- Language:Python 1008
saltudelft / ml4se
A curated list of papers, theses, datasets, and tools related to the application of Machine Learning for Software Engineering
microsoft / multilspy
multilspy is a lsp client library in Python intended to be used to build applications around language servers.
Language:Python 476Code and Data artifact for NeurIPS 2023 paper - "Monitor-Guided Decoding of Code LMs with Static Analysis of Repository Context". `multispy` is a lsp client library in Python intended to be used to build applications around language servers.
Language:Python 275deep-symbolic-mathematics / LLM-SR
[ICLR 2025 Oral] This is the official repo for the paper "LLM-SR" on Scientific Equation Discovery and Symbolic Regression with Large Language Models
Language:Python 183FSoft-AI4Code / CodeCapybara
Open-source Self-Instruction Tuning Code LLM
Language:Python 168[EMNLP 2023] The Vault: A Comprehensive Multilingual Dataset for Advancing Code Understanding and Generation
Language:Jupyter Notebook 100[ICML2025 Oral] LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models
Language:Python 81- Language:Python 70
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.
Language:Python 56ALFA-group / adversarial-code-generation
[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
Language:Python 30[FORGE 2025] Predicting Program Behavior with Dynamic Dependencies Learning
Language:Python 25wyt2000 / InverseCoder
[AAAI 2025] The official code of the paper "InverseCoder: Unleashing the Power of Instruction-Tuned Code LLMs with Inverse-Instruct"(https://arxiv.org/abs/2407.05700).
Language:Python 13[NAACL 2025] Guiding Large Language Models in Code Execution with Fine-grained Multimodal Chain-of-Thought Reasoning
Language:Jupyter Notebook 12HWH-2000 / DynaCode
[ACL'2025 Findings] DynaCode: A Dynamic Complexity-Aware Code Benchmark for Evaluating Large Language Models in Code Generation
Language:Python 10Alex-Mathai-98 / Monolith-to-Microservices
This paper explores the idea of using heterogeneous graph neural networks (Het-GNN) to partition old legacy monoliths into candidate microservices. We additionally take membership constraints that come from a subject matter expert who has deep domain knowledge of the application.
Language:Python 6[SANER 2023] "CLAWSAT: Towards Both Robust and Accurate Code Models" by Jinghan Jia*, Shashank Srikant*, Tamara Mitrovska, Chuang Gan, Shiyu Chang, Sijia Liu, Una-May O'Reilly
Language:Python
