https://github.com/polarisZhao/mtcnn-pytorch
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
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/pranayanand123/Design2Code
pix2code: Generating Code from a Graphical User Interface Screenshot
https://github.com/princeton-nlp/SWE-bench
SWE-bench: Can Language Models Resolve Real-World GitHub Issues?
https://github.com/pwc-1/Paper-10/tree/main/starcoder2
https://github.com/pwc-1/Paper-9/tree/main/1/xlm_prophetnet
https://github.com/pwc-1/Paper-9/tree/main/2/mistral
https://github.com/pwc-1/Paper-9/tree/main/2/mixtral
https://github.com/qixucen/atom
https://github.com/qwenlm/qwen1.5
https://github.com/qwenlm/qwen2
https://github.com/qwenlm/qwen2.5
https://github.com/qwopqwop200/GPTQ-for-LLaMa
https://github.com/racheljose21/chatbot
Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning
https://github.com/ram-ch/RealTimeFaceRecognition
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
https://github.com/realsonalkumar/Mish-Mash-Hackathon
https://github.com/reasoning-machines/cocogen
https://github.com/replicate/cog_stanford_alpaca
https://github.com/rijgersberg/geitje
https://github.com/rohith2506/facedetect
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
https://github.com/sakirinn/llm4cvd
CodeBERT: A Pre-Trained Model for Programming and Natural Languages
https://github.com/sberbank-ai/fusion_brain_aij2021
https://github.com/serengil/deepface
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
https://github.com/shaojintian/power_law_decay
https://github.com/shayandaneshvar/gui-element-detection
https://github.com/shivam017arora/Conversational-BI
https://github.com/shmsw25/factscore
https://github.com/sleepyhead01/vulnurable-code-entities-r-analysis
CodeAttack: Code-Based Adversarial Attacks for Pre-trained Programming Language Models
https://github.com/snowflakedb/ArcticTraining
SwiftKV: Fast Prefill-Optimized Inference with Knowledge-Preserving Model Transformation
https://github.com/songmzhang/dskd
https://github.com/soran-ghaderi/torchebm
Energy-Based Models for Code Generation under Compilability Constraints
https://github.com/squeezeailab/squeezellm
https://github.com/sruthisripathi/ui2c
pix2code: Generating Code from a Graphical User Interface Screenshot
https://github.com/stanfordbdhg/llama.cpp
https://github.com/steve-levesque/Portfolio-AI-DesignToCode
pix2code: Generating Code from a Graphical User Interface Screenshot
https://github.com/stovecat/convcodeworld
BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions
https://github.com/superli3/CYRMPR
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.