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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/vuptran/cardiac-segmentation

공식 코드

A Fully Convolutional Neural Network for Cardiac Segmentation in Short-Axis MRI

https://github.com/waltonfuture/Diabetica

공식 코드

Diabetica: Adapting Large Language Model to Enhance Multiple Medical Tasks in Diabetes Care and Management

https://github.com/wangkaiwan/hecktor-2022-airt

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Recurrence-free Survival Prediction under the Guidance of Automatic Gross Tumor Volume Segmentation for Head and Neck Cancers

https://github.com/warnikchow/sae4k

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Extracting Arguments from Korean Question and Command: An Annotated Corpus for Structured Paraphrasing

https://github.com/watermeloncq/drl-long-short-optimization-portfolio-SB3py37

공식 코드

Deep Reinforcement Learning for Long-Short Portfolio Optimization

https://github.com/weaidb/awesome-data-llm

공식 코드

A Survey of LLM $\times$ DATA

https://github.com/weaidb/awsome-data-llm

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A Survey of LLM $\times$ DATA

https://github.com/weiiguo/wireless-agent

공식 코드

WirelessAgent: Large Language Model Agents for Intelligent Wireless Networks

https://github.com/weilabmsu/oud-ppi

공식 코드

Machine Learning Study of the Extended Drug-target Interaction Network informed by Pain Related Voltage-Gated Sodium Channels

https://github.com/wendig/gd-caf

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Graph Dual-stream Convolutional Attention Fusion for Precipitation Nowcasting

https://github.com/wenet-e2e/wesep

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WeSep: A Scalable and Flexible Toolkit Towards Generalizable Target Speaker Extraction

https://github.com/wenlinyao/AAAI20-EventRecognitionForDisaster

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Weakly-supervised Fine-grained Event Recognition on Social Media Texts for Disaster Management

https://github.com/wenyueh/latency_optimization_with_priority_constraints

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Semantic Scheduling for LLM Inference

https://github.com/western-oc2-lab/5g-core-networks-datasets

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Towards Supporting Intelligence in 5G/6G Core Networks: NWDAF Implementation and Initial Analysis

https://github.com/wickerlab/memento

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Memento: Facilitating Effortless, Efficient, and Reliable ML Experiments

https://github.com/wish44165/uavdb

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UAVDB: Trajectory-Guided Adaptable Bounding Boxes for UAV Detection

https://github.com/wissam-sib/dilbert

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Delaying Interaction Layers in Transformer-based Encoders for Efficient Open Domain Question Answering

https://github.com/woodywff/drug_det_ro

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Towards Toxic and Narcotic Medication Detection with Rotated Object Detector

https://github.com/wri-dssg-omdena/policy-data-analyzer

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Beyond modeling: NLP Pipeline for efficient environmental policy analysis

https://github.com/wubin5/sttn

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DG-Trans: Dual-level Graph Transformer for Spatiotemporal Incident Impact Prediction on Traffic Networks

https://github.com/wuhuikai/MSC

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MSC: A Dataset for Macro-Management in StarCraft II

https://github.com/wuyushuwys/lotus

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Lotus: learning-based online thermal and latency variation management for two-stage detectors on edge devices

https://github.com/xiangzhang-zx/llm-stockquery-dataset

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Can LLMs substitute SQL? Comparing Resource Utilization of Querying LLMs versus Traditional Relational Databases

https://github.com/xiaoxiaxusummer/gai_comm

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Generative Artificial Intelligence (GAI) for Mobile Communications: A Diffusion Model Perspective

https://github.com/xieyangxinyu/a-comparative-study-of-loss-functions-traffic-predictions-in-regular-and-congestion-scenarios

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A Comparative Study of Loss Functions: Traffic Predictions in Regular and Congestion Scenarios

https://github.com/xujiahuayz/yieldAggregators

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Reap the Harvest on Blockchain: A Survey of Yield Farming Protocols

https://github.com/xujinming01/td3aq

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Mixed-Integer Optimal Control via Reinforcement Learning: A Case Study on Hybrid Electric Vehicle Energy Management

https://github.com/xyonglu/sbcformer

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SBCFormer: Lightweight Network Capable of Full-size ImageNet Classification at 1 FPS on Single Board Computers

https://github.com/yangyajie0625/data_detection

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Data Proportion Detection for Optimized Data Management for Large Language Models

https://github.com/yannraphalen/Hedges-Detection

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"You might think about slightly revising the title": identifying hedges in peer-tutoring interactions

https://github.com/yash-jakhmola/w-dstagnn

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Spatiotemporal Forecasting of Traffic Flow using Wavelet-based Temporal Attention

https://github.com/yebulabula/disc-diff

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DisC-Diff: Disentangled Conditional Diffusion Model for Multi-Contrast MRI Super-Resolution

https://github.com/yehudagale/fuzzyjoiner

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Merging datasets through deep learning

https://github.com/yikuanli/BEHRT

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BEHRT: Transformer for Electronic Health Records

https://github.com/yikun-li/satd-relations

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Automatically Identifying Relations Between Self-Admitted Technical Debt Across Different Sources

https://github.com/yilin-sai/ai-copyright-framework

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Is Your AI Truly Yours? Leveraging Blockchain for Copyrights, Provenance, and Lineage

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