https://github.com/Mind23-2/MindCode-134
CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis
Papers with Code 아카이브
Code Generation
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- 평가표
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- 보존된 평가 기록
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Code Generation is an important field to predict explicit code or program structure from multimodal data sources such as incomplete code, programs in another programming language, natural language descriptions or execution examples. Code Generation tools can assist the development of automatic programming tools to improve programming productivity.
Source: Deep Learning for Source Code Modeling and Generation
Image source: Measuring Coding Challenge Competence With APPS
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/Mind23-2/MindCode-140
https://github.com/Mind23-2/MindCode-59
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
https://github.com/MindCode-4/code-2/tree/main/qwen2
https://github.com/MindCode-4/code-4/tree/main/plbart
NatGen: Generative pre-training by "Naturalizing" source code
https://github.com/MindCode-4/code-5/tree/main/xlm_prophetnet
https://github.com/MindSpore-paper-code-2/code399/tree/main/Pangu_alpha
PanGu-Coder: Program Synthesis with Function-Level Language Modeling
https://github.com/MindSpore-scientific-2/code-14/tree/main/llama
https://github.com/MinghaoNJU/Object-detection-for-graphical-user-interface
Object Detection for Graphical User Interface: Old Fashioned or Deep Learning or a Combination?
https://github.com/Mrnoorsingh/QRCode-and-Face-Recognition-for-Access-Control
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
https://github.com/OctopusNO1/Artificial-Intelligence-Guide
https://github.com/Peyvand-Andalibi/NL2Code
A Syntactic Neural Model for General-Purpose Code Generation
https://github.com/PriyankaDatar/NLP_Project_Modfications
Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning
https://github.com/PriyankaDatar/NLP_SQL_Project
Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning
https://github.com/Pro-v-7/code-generation
StructVAE: Tree-structured Latent Variable Models for Semi-supervised Semantic Parsing
https://github.com/RAHUL-KESHERVANI/my_pix2code
pix2code: Generating Code from a Graphical User Interface Screenshot
https://github.com/Resurgamm/AGP
https://github.com/SSusantAchary/FaceDetection-counting-using-MTCNN
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
https://github.com/SagesAi/terminal-agent
Automatic Unit Test Data Generation and Actor-Critic Reinforcement Learning for Code Synthesis
https://github.com/ShayekhBinIslam/openrag
https://github.com/Spracks/PackageHallucination
https://github.com/TRAIS-Lab/dca-bench
SWE-bench: Can Language Models Resolve Real-World GitHub Issues?
https://github.com/Team-Neighborhood/awesome-face-detection
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
https://github.com/ThomasVandendijk/capita_selecta_pix2code
pix2code: Generating Code from a Graphical User Interface Screenshot
https://github.com/TianxingChen/RoboTwin
RoboTwin: Dual-Arm Robot Benchmark with Generative Digital Twins (early version)
https://github.com/TropComplique/mtcnn-pytorch
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
https://github.com/Vill-Lab/forkOfAlchemistCoder
AlchemistCoder: Harmonizing and Eliciting Code Capability by Hindsight Tuning on Multi-source Data
https://github.com/WangChen0902/MTCNN-Paddle
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
https://github.com/YUEXIUG/M2TS
https://github.com/YonoHub/Model-Implementation-and-Training
https://github.com/ZvezdocheTag/variable-ui
pix2code: Generating Code from a Graphical User Interface Screenshot
https://github.com/aannirajpatel/COMP562-Face-Mask-Detect
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
https://github.com/abhaskumarsinha/Corpus2GPT
https://github.com/abhishekchugh17/sql12
Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning
https://github.com/aethercortex/llama-x
https://github.com/agentification/language-integrated-vi
InterCode: Standardizing and Benchmarking Interactive Coding with Execution Feedback
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.