https://github.com/ibm/tree-sitter-codeviews
CodeSAM: Source Code Representation Learning by Infusing Self-Attention with Multi-Code-View Graphs
Papers with Code 아카이브
Code Search
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 1
- 평가표
- 6
- 보존된 평가 기록
- 15
The goal of Code Search is to retrieve code fragments from a large code corpus that most closely match a developer’s intent, which is expressed in natural language.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/jmg764/CodeSearchNet-Challenge
CodeSearchNet Challenge: Evaluating the State of Semantic Code Search
https://github.com/kilimanj4r0/code-summarization-beyond-function-level
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation
https://github.com/leiluk1/codesearcher
CodeT5+: Open Code Large Language Models for Code Understanding and Generation
https://github.com/liqs-v2/ctim-rover
https://github.com/mandubian/codenets
CodeSearchNet Challenge: Evaluating the State of Semantic Code Search
https://github.com/mrezende/cbsoft-sbes-2020-short-paper
CoNCRA: A Convolutional Neural Network Code Retrieval Approach
https://github.com/nchen909/codeattention
CodeSearchNet Challenge: Evaluating the State of Semantic Code Search
https://github.com/openmatch/coco-dr
https://github.com/robotics-4-all/ISSEL-Announcements
CodeSearchNet Challenge: Evaluating the State of Semantic Code Search
https://github.com/sakirinn/llm4cvd
CodeBERT: A Pre-Trained Model for Programming and Natural Languages
https://github.com/salesforce/coderl
CodeSearchNet Challenge: Evaluating the State of Semantic Code Search
https://github.com/sberbank-ai/fusion_brain_aij2021
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation
https://github.com/sjj0403/GSCS
CodeSearchNet Challenge: Evaluating the State of Semantic Code Search
https://github.com/yueyuel/programgen-lms-reliability
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation
https://github.com/zfj1998/CodeBert-Code2Text
CodeSearchNet Challenge: Evaluating the State of Semantic Code Search
https://github.com/zhangzwwww/dietcode
CodeBERT: A Pre-Trained Model for Programming and Natural Languages
https://github.com/zhangzwwww/dietcodebert
CodeBERT: A Pre-Trained Model for Programming and Natural Languages
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.