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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/neunms/reinforcement-learning-on-graph-a-survey
공식 코드https://github.com/neunms/reinforcement-learning-on-graphs-a-survey
공식 코드https://github.com/nicolaus625/fm4music
공식 코드https://github.com/niconi19/llm-conversation-safety
공식 코드Attacks, Defenses and Evaluations for LLM Conversation Safety: A Survey
https://github.com/nilesh2797/zestxml
공식 코드https://github.com/ninodimontalcino/moralchoice
공식 코드https://github.com/nl2g/transformingsciencellms
공식 코드https://github.com/nlpaueb/bio_image_caption
공식 코드https://github.com/nmirabeth/event_human
공식 코드Event-based Solutions for Human-centered Applications: A Comprehensive Review
https://github.com/noakliu/efficient-foundation-models-survey
공식 코드Designing Large Foundation Models for Efficient Training and Inference: A Survey
https://github.com/nuochenpku/awesome-role-play-papers
공식 코드The Oscars of AI Theater: A Survey on Role-Playing with Language Models
https://github.com/nus-cvml/awesome-temporal-action-segmentation
공식 코드Temporal Action Segmentation: An Analysis of Modern Techniques
https://github.com/nvsclub/shotspeedestimation
공식 코드https://github.com/nyunai/faster-llm-survey
공식 코드Faster and Lighter LLMs: A Survey on Current Challenges and Way Forward
https://github.com/octoberzzzzz/ml-based-tms-cav-survey
공식 코드https://github.com/omicsml/dance
공식 코드https://github.com/opendfm/llm4chemistry
공식 코드From Generalist to Specialist: A Survey of Large Language Models for Chemistry
https://github.com/orange-opensource/opencraftml
공식 코드https://github.com/ostadabbas/infant-postural-symmetry
공식 코드Computer Vision to the Rescue: Infant Postural Symmetry Estimation from Incongruent Annotations
https://github.com/paddlepaddle/rocketqa
공식 코드Dense Text Retrieval based on Pretrained Language Models: A Survey
https://github.com/paitesanshi/llm-agent-survey
공식 코드https://github.com/palash1992/GEM
공식 코드Graph Embedding Techniques, Applications, and Performance: A Survey
https://github.com/patricia-pereira/deep-emotion-recognition-in-textual-conversations
공식 코드https://github.com/patuchen/nlg_metric_usage
공식 코드Automatic Metrics in Natural Language Generation: A Survey of Current Evaluation Practices
https://github.com/pbielak/graph-barlow-twins
공식 코드https://github.com/pengboci/graphrag-survey
공식 코드https://github.com/petergriffinjin/awesome-language-model-on-graphs
공식 코드https://github.com/phellonchen/awesome-Vision-and-Language-Pre-training
공식 코드https://github.com/pillowsofwind/knowledge-conflicts-survey
공식 코드https://github.com/pinlong-zhao/data-poisoning
공식 코드https://github.com/pku-dair/rag-survey
공식 코드Retrieval-Augmented Generation for AI-Generated Content: A Survey
https://github.com/plankson/awesome-explainable-reinforcement-learning
공식 코드A Survey on Explainable Reinforcement Learning: Concepts, Algorithms, Challenges
https://github.com/plural-connections/feedbackmap
공식 코드FeedbackMap: a tool for making sense of open-ended survey responses
https://github.com/pointscoder/awesome-3d-object-detection-for-autonomous-driving
공식 코드3D Object Detection for Autonomous Driving: A Comprehensive Survey
https://github.com/presnick/surveyequivalence
공식 코드Survey Equivalence: A Procedure for Measuring Classifier Accuracy Against Human Labels
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.