https://github.com/mdsarfarazulh/face-verification-facenet-mtcnn
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/meetyou-ai-lab/can-mc-evaluate-llms
https://github.com/meta-llama/llama
https://github.com/mgmalek/efficient_cross_entropy
https://github.com/miaoyuchun/inform
Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback
https://github.com/microsoft/repoclassbench
https://github.com/microsoft/trace
Improving Parallel Program Performance with LLM Optimizers via Agent-System Interfaces
https://github.com/microsoft/verus-proof-synthesis
https://github.com/mlfoundations/Evalchemy
BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions
https://github.com/moskewcz/boda
https://github.com/multi-swe-bench/multi-swe-bench
SWE-bench: Can Language Models Resolve Real-World GitHub Issues?
https://github.com/multimodal-art-projection/CodeCriticBench
CodeCriticBench: A Holistic Code Critique Benchmark for Large Language Models
https://github.com/my-other-github-account/llm-humaneval-benchmarks
https://github.com/naver/disco
Energy-Based Models for Code Generation under Compilability Constraints
https://github.com/ncoop57/gpt-code-clippy
https://github.com/nebuly-ai/nebullvm/tree/main/apps/accelerate/chatllama
https://github.com/nickrosh/evol-teacher
WizardCoder: Empowering Code Large Language Models with Evol-Instruct
https://github.com/ninglab/ecellm
https://github.com/njordsir/Clustering-Faces
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
https://github.com/ntunlplab/traditional-chinese-alpaca
https://github.com/ofa-sys/expertllama
https://github.com/ohadrubin/rpt
https://github.com/omaarelsherif/Face-Detection-Using-Deep-Learning
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
https://github.com/omaarelsherif/Face-Detection-Using-MTCNN
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
https://github.com/openai/human-eval-infilling
InCoder: A Generative Model for Code Infilling and Synthesis
https://github.com/openbotai/nl2sql
Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning
https://github.com/opencodeinterpreter/opencodeinterpreter
OpenCodeInterpreter: Integrating Code Generation with Execution and Refinement
https://github.com/openlmlab/moss
CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis
https://github.com/openmoss/moss
CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis
https://github.com/orionbench/orionbench
ChartGalaxy: A Dataset for Infographic Chart Understanding and Generation
https://github.com/paralleldrive/sudolang-llm-support
Prompting Is Programming: A Query Language for Large Language Models
https://github.com/pcyin/NL2code
A Syntactic Neural Model for General-Purpose Code Generation
https://github.com/pedrobragap/products_classification
A Syntactic Neural Model for General-Purpose Code Generation
https://github.com/pengsongyou/OMG-ADSC
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
https://github.com/phoebussi/alpaca-cot
https://github.com/plaidml/plaidml
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.