Papers with Code 아카이브
Code Generation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 5
- 평가표
- 28
- 보존된 평가 기록
- 241
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/AhmedSSoliman/Leveraging-Pretrained-Language-Models-for-Code-Generation
https://github.com/AhmedSSoliman/MarianCG-NL-to-Code
https://github.com/AmrHendy/programming-language-translator
https://github.com/Ander02/FaceRecognition
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
https://github.com/Anuranjan-Kumar/Face-Detection
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
https://github.com/Atharva-Phatak/Generating-Webpages-from-Screenshots
pix2code: Generating Code from a Graphical User Interface Screenshot
https://github.com/Baidi96/text2sql
Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning
https://github.com/CX000/sqlnet_inference_py36
Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning
https://github.com/CodeEditorBench/CodeEditorBench
CodeEditorBench: Evaluating Code Editing Capability of Large Language Models
https://github.com/DaneyAlex5/Live-Face-Verification-Using-Deep-Learning
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
https://github.com/DaneyAlex5/Webcam-based-Face-Recognition-using-Deep-Learning-
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
https://github.com/Dou-Yu-xuan/vggface2-pytorch
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
https://github.com/EdinburghNLP/code-docstring-corpus
https://github.com/FSoft-AI4Code/SRank-Code-Generation
https://github.com/Felhof/sandbagging-elicitation
The Elicitation Game: Evaluating Capability Elicitation Techniques
https://github.com/HA-Transformer/HA-Transformer
https://github.com/Huawei-MRC-OSI/optml-zoo
DLVM: A modern compiler infrastructure for deep learning systems
https://github.com/IBM/Dromedary
https://github.com/ICSEG/M2TS
https://github.com/ICT-GoKnow/KnowCoder
KnowCoder: Coding Structured Knowledge into LLMs for Universal Information Extraction
https://github.com/Jagannathrk2020/Face-detection-and-counting-
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
https://github.com/JasonZhu-WHU/CoderAssistant
CodeBERT: A Pre-Trained Model for Programming and Natural Languages
https://github.com/JesusCarr/JARVIS
https://github.com/KarthikBalakrishnan11/Face_Recognition_FaceNet
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
https://github.com/Kvantify/johnson-clique-cover
https://github.com/Leeroo-AI/mergoo
Branch-Train-MiX: Mixing Expert LLMs into a Mixture-of-Experts LLM
https://github.com/LiberAI/NSpM
Neural Machine Translation for Query Construction and Composition
https://github.com/Lightning-AI/lit-gpt
https://github.com/Lightning-AI/lit-llama
https://github.com/Luoji-zju/Agents4PLC_release
MapCoder: Multi-Agent Code Generation for Competitive Problem Solving
https://github.com/MS-P3/code5/tree/main/llama
https://github.com/MS-P3/code5/tree/main/llama2
https://github.com/MS-P3/code5/tree/main/starcoder
https://github.com/MachineLearningSystem/25MLSYS-NEO
NEO: Saving GPU Memory Crisis with CPU Offloading for Online LLM Inference
https://github.com/MaratSaidov/source-code-summarization
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.