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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/CASTLE-Benchmark/CASTLE-Benchmark
공식 코드CASTLE: Benchmarking Dataset for Static Code Analyzers and LLMs towards CWE Detection
https://github.com/IBM/Project_CodeNet
공식 코드CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks
https://github.com/basedrhys/obfuscated-code2vec
공식 코드Embedding Java Classes with code2vec: Improvements from Variable Obfuscation
https://github.com/jeongwhanchoi/gfsa
공식 코드Graph Convolutions Enrich the Self-Attention in Transformers!
https://github.com/jingkai92/learning-program-representation
공식 코드Learning Program Semantics with Code Representations: An Empirical Study
https://github.com/qiankunmu/hdhgn
공식 코드https://github.com/rabbitjy/fuzztuning
공식 코드https://github.com/testing-cs/codes
공식 코드CodeS: Towards Code Model Generalization Under Distribution Shift
https://github.com/testing-cs/codes-distribution-shift-benchmark-datasets
공식 코드CodeS: Towards Code Model Generalization Under Distribution Shift
https://github.com/whatevernevermindbro/nl2ml-mirror
공식 코드https://github.com/zemingd/hybridpool4mixup
공식 코드On the Effectiveness of Hybrid Pooling in Mixup-Based Graph Learning for Language Processing
https://github.com/zemingd/mixup4code
공식 코드MIXCODE: Enhancing Code Classification by Mixup-Based Data Augmentation
https://zenodo.org/record/7608802
공식 코드https://github.com/ciselab/lampion
Embedding Java Classes with code2vec: Improvements from Variable Obfuscation
https://github.com/kaiko-ai/eva
A General-Purpose Self-Supervised Model for Computational Pathology
https://github.com/mindscan-de/FluentGenesis-Classifier
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.