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Prediction

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

https://github.com/Center-for-Diabetes-Technology/TransformerBasedBGPrediction

공식 코드

A Comparative Study of Transformer-Based Models for Multi-Horizon Blood Glucose Prediction

https://github.com/Chandrahasd/OKGIT

공식 코드

OKGIT: Open Knowledge Graph Link Prediction with Implicit Types

https://github.com/ChangwenXu98/TransPolymer

공식 코드

TransPolymer: a Transformer-based language model for polymer property predictions

https://github.com/ChenxiLiu-HNU/ST-LLM

공식 코드

Spatial-Temporal Large Language Model for Traffic Prediction

https://github.com/ChuhuaW/SGNet.pytorch

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Stepwise Goal-Driven Networks for Trajectory Prediction

https://github.com/ChunaraLab/Pop-aware-domain-adaptation

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Population-aware Hierarchical Bayesian Domain Adaptation via Multiple-component Invariant Learning

https://github.com/ChunchuanLv/AMR_AS_GRAPH_PREDICTION

공식 코드

AMR Parsing as Graph Prediction with Latent Alignment

https://github.com/ChyaZhang/ChatTraffic

공식 코드

ChatTraffic: Text-to-Traffic Generation via Diffusion Model

https://github.com/CitrineInformatics/lolo

공식 코드

Multivariate Prediction Intervals for Random Forests

https://github.com/CodeMonsterPHD/GaTector-A-Unified-Framework-for-Gaze-Object-Prediction

공식 코드

GaTector: A Unified Framework for Gaze Object Prediction

https://github.com/Curry30Messi/AdaMHF

공식 코드

AdaMHF: Adaptive Multimodal Hierarchical Fusion for Survival Prediction

https://github.com/Cyanogenoid/dspn

공식 코드

Deep Set Prediction Networks

https://github.com/DIAL-RPI/COVID19-ICUPrediction

공식 코드

Integrative Analysis for COVID-19 Patient Outcome Prediction

https://github.com/DIAL-RPI/KAMP-Net

공식 코드

Knowledge-based Analysis for Mortality Prediction from CT Images

https://github.com/DM2-ND/CFLP

공식 코드

Learning from Counterfactual Links for Link Prediction

https://github.com/Deagogishvili/chapter-multi-task

공식 코드

PatchProt: Hydrophobic patch prediction using protein foundation models

https://github.com/DeepGraphLearning/NBFNet

공식 코드

Link Prediction without Graph Neural Networks

https://github.com/DeepLearnXMU/PSSAttention

공식 코드

Enhanced Aspect-Based Sentiment Analysis Models with Progressive Self-supervised Attention Learning

https://github.com/DehouZhang/Online-Search-with-Predictions

공식 코드

Online Search With Best-Price and Query-Based Predictions

https://github.com/DesmondZhong/Lagrangian_caVAE

공식 코드

Unsupervised Learning of Lagrangian Dynamics from Images for Prediction and Control

https://github.com/DianboWork/SPN4RE

공식 코드

Joint Entity and Relation Extraction with Set Prediction Networks

https://github.com/DiegoAE/BOSD

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Bayesian Online Prediction of Change Points

https://github.com/Dipeshtamboli/Interactive-GradCAM

공식 코드

Explaining decision of model from its prediction

https://github.com/DixonCider/TCRI-Benchmark

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Benchmarking Tropical Cyclone Rapid Intensification with Satellite Images and Attention-based Deep Models

https://github.com/Don-Joey/CPP_LLM

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Collaborative Performance Prediction for Large Language Models

https://github.com/Droliven/MSRGCN

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MSR-GCN: Multi-Scale Residual Graph Convolution Networks for Human Motion Prediction

https://github.com/DrugAI/ACNet

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Activity Cliff Prediction: Dataset and Benchmark

https://github.com/EMI-Group/FaPN

공식 코드

FaPN: Feature-aligned Pyramid Network for Dense Image Prediction

https://github.com/EdWangLoDaSc/DSOVT

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Dynamical system prediction from sparse observations using deep neural networks with Voronoi tessellation and physics constraint

https://github.com/EiraZhang/LACO

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Enhancing Label Correlation Feedback in Multi-Label Text Classification via Multi-Task Learning

https://github.com/Ejmric/STMF

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Data embedding and prediction by sparse tropical matrix factorization

https://github.com/ElSacho/MVCS

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Minimum Volume Conformal Sets for Multivariate Regression

https://github.com/EmmanuelleB985/Head-and-Neck-Tumour-Segmentation-and-Prediction-of-Patient-Survival

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Multimodal PET/CT Tumour Segmentation and Prediction of Progression-Free Survival using a Full-Scale UNet with Attention

https://github.com/Enlindn-NUAA/IBFP

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Exploiting Interpretable Patterns for Flow Prediction in Dockless Bike Sharing Systems

https://github.com/EricAlcaide/generalized-readout-phase

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Improving Graph Property Prediction with Generalized Readout Functions

https://github.com/Erik-BM/NIVAUC

공식 코드

Knowledge Graph Embedding for Ecotoxicological Effect Prediction

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