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

https://github.com/kukuruza/shuffler

공식 코드

Shuffler: A Large Scale Data Management Tool for ML in Computer Vision

https://github.com/kusnenist/multitask_matter

공식 코드

Scalable Multi-Agent Lab Framework for Lab Optimization

https://github.com/labull/engineeringpatternrecognition

공식 코드

Hierarchical Bayesian Modelling for Knowledge Transfer Across Engineering Fleets via Multitask Learning

https://github.com/laowu-code/iTansformer_LSTM_CrossAttention_KAN

공식 코드

Enhanced Photovoltaic Power Forecasting: An iTransformer and LSTM-Based Model Integrating Temporal and Covariate Interactions

https://github.com/larsvanderlaan/selfcalibratingconformal

공식 코드

Self-Calibrating Conformal Prediction

https://github.com/learnedsystems/SOSD

공식 코드

SOSD: A Benchmark for Learned Indexes

https://github.com/leexxe/subcutaneous-immunotherapy-dataset

공식 코드

Sequential Model for Predicting Patient Adherence in Subcutaneous Immunotherapy for Allergic Rhinitis

https://github.com/lehaifeng/T-GCN

공식 코드

T-GCN: A Temporal Graph ConvolutionalNetwork for Traffic Prediction

https://github.com/leililab/infinisst

공식 코드

InfiniSST: Simultaneous Translation of Unbounded Speech with Large Language Model

https://github.com/lemonjust/napari-vodex

공식 코드

VoDEx: a Python library for time annotation and management of volumetric functional imaging data

https://github.com/lemonjust/vodex

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VoDEx: a Python library for time annotation and management of volumetric functional imaging data

https://github.com/leobix/adaptive_ensemble

공식 코드

Ensemble Modeling for Time Series Forecasting: an Adaptive Robust Optimization Approach

https://github.com/leokan92/optimal-stopping-cnn

공식 코드

Solving the optimal stopping problem with reinforcement learning: an application in financial option exercise

https://github.com/leongvan/peerguard

공식 코드

PeerGuard: Defending Multi-Agent Systems Against Backdoor Attacks Through Mutual Reasoning

https://github.com/leonm1/unikernel-research-2020

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The Dark Side of Unikernels for Machine Learning

https://github.com/lescientifik/open_brats2020

공식 코드

Brain tumor segmentation with self-ensembled, deeply-supervised 3D U-net neural networks: a BraTS 2020 challenge solution

https://github.com/li-xirong/sea

공식 코드

SEA: Sentence Encoder Assembly for Video Retrieval by Textual Queries

https://github.com/li-yun/battery_fr_rl

공식 코드

Deep Learning-based Predictive Control of Battery Management for Frequency Regulation

https://github.com/liaw05/stmixer

공식 코드

Siamese Encoder-based Spatial-Temporal Mixer for Growth Trend Prediction of Lung Nodules on CT Scans

https://github.com/libcity/bigscity-libcity

공식 코드

Unified Data Management and Comprehensive Performance Evaluation for Urban Spatial-Temporal Prediction [Experiment, Analysis & Benchmark]

https://github.com/lihaoy-ux/dqo-map

공식 코드

DQO-MAP: Dual Quadrics Multi-Object mapping with Gaussian Splatting

https://github.com/lijlansg/trafficgpt

공식 코드

TrafficGPT: Viewing, Processing and Interacting with Traffic Foundation Models

https://github.com/lilanger/SHEMS

공식 코드

An optimal home energy management system for modulating heat pumps and photovoltaic systems

https://github.com/linusbleistein/signature_survival

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Dynamical Survival Analysis with Controlled Latent States

https://github.com/linwhitehat/et-bert

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ET-BERT: A Contextualized Datagram Representation with Pre-training Transformers for Encrypted Traffic Classification

https://github.com/lironui/MACU-Net

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MACU-Net for Semantic Segmentation of Fine-Resolution Remotely Sensed Images

https://github.com/lironui/U-Net-with-Multi-Scale-Skip-Connections-and-Asymmetric-Convolution-Blocks

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MACU-Net for Semantic Segmentation of Fine-Resolution Remotely Sensed Images

https://github.com/lithostark/ENGNN

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ENGNN: A General Edge-Update Empowered GNN Architecture for Radio Resource Management in Wireless Networks

https://github.com/liviorobaldo/trececpaperattachments

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Semi-automated checking for regulatory compliance in e-Health

https://github.com/liyaguang/DCRNN

공식 코드

Graph-Partitioning-Based Diffusion Convolutional Recurrent Neural Network for Large-Scale Traffic Forecasting

https://github.com/lizhihao2022/amg

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Harnessing Scale and Physics: A Multi-Graph Neural Operator Framework for PDEs on Arbitrary Geometries

https://github.com/lmissher/patchstg

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Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective

https://github.com/lovodkin93/unanswerability

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The Curious Case of Hallucinatory (Un)answerability: Finding Truths in the Hidden States of Over-Confident Large Language Models

https://github.com/lsy-cython/diffcharge

공식 코드

DiffCharge: Generating EV Charging Scenarios via a Denoising Diffusion Model

https://github.com/luchungi/generative-model-signature-mmd

공식 코드

Generative model for financial time series trained with MMD using a signature kernel

https://github.com/luckybian/isy5001

공식 코드

IntellectSeeker: A Personalized Literature Management System with the Probabilistic Model and Large Language Model

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.