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Prediction

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코드

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

https://github.com/wileyw/VideoGAN

Deep multi-scale video prediction beyond mean square error

https://github.com/willhua127/enzymeflow

ReactZyme: A Benchmark for Enzyme-Reaction Prediction

https://github.com/williamcaicedo/ISeeU2

ISeeU2: Visually Interpretable ICU mortality prediction using deep learning and free-text medical notes

https://github.com/windsornguyen/flash-stu

Spectral State Space Models

https://github.com/wonders19/Learning-Note

Deeper Depth Prediction with Fully Convolutional Residual Networks

https://github.com/woodcutter1998/ogb-grail-mod

Inductive Relation Prediction by Subgraph Reasoning

https://github.com/wzkkzw12345/NIPS2019DeepGamblers

Deep Gamblers: Learning to Abstain with Portfolio Theory

https://github.com/xcyan/eccv18_mtvae

Learning to Generate Long-term Future via Hierarchical Prediction

https://github.com/xhxuciedu/3DHand

Mesh R-CNN

https://github.com/xiaominglalala/Session_based_Recommendation

Deep Session Interest Network for Click-Through Rate Prediction

https://github.com/xinshuaiqi/awesome-genome

deepTarget: End-to-end Learning Framework for microRNA Target Prediction using Deep Recurrent Neural Networks

https://github.com/xiongbo010/neste

Improving Inductive Link Prediction Using Hyper-Relational Facts

https://github.com/xiongsiheng/TEILP

TEILP: Time Prediction over Knowledge Graphs via Logical Reasoning

https://github.com/xiyou3368/DGVAE

Variational Graph Auto-Encoders

https://github.com/xjwxjw/VPEG

Video Prediction via Example Guidance

https://github.com/xrndai/DeepDayTrade

Neural networks for stock price prediction

https://github.com/xue-pai/FuxiCTR

Higher-Order Factorization Machines

https://github.com/xuyingyue/DeepUnifiedCRF_iccv19

Structured Modeling of Joint Deep Feature and Prediction Refinement for Salient Object Detection

https://github.com/xyzforever/bevt

PeCo: Perceptual Codebook for BERT Pre-training of Vision Transformers

https://github.com/yCobanoglu/infinite-width-gnns

Line Graph Neural Networks for Link Prediction

https://github.com/yadrimz/DESIRE

DESIRE: Distant Future Prediction in Dynamic Scenes with Interacting Agents

https://github.com/yahsieh37/Visual-Saliency-Prediction

Contextual Encoder-Decoder Network for Visual Saliency Prediction

https://github.com/yakhyo/head-pose-estimation

Towards Robust and Unconstrained Full Range of Rotation Head Pose Estimation

https://github.com/yang1fan2/Dota2-Prediction

Real-time eSports Match Result Prediction

https://github.com/yangalan123/anhp-andtt

Transformer Hawkes Process

https://github.com/yanggeng1995/EATS

End-to-End Adversarial Text-to-Speech

https://github.com/yanghaoxie/GCN-GAN-for-Weighted-Dynamic-Networks

GCN-GAN: A Non-linear Temporal Link Prediction Model for Weighted Dynamic Networks

https://github.com/yangjun1994/CAGCN

T-GCN: A Temporal Graph ConvolutionalNetwork for Traffic Prediction

https://github.com/yangyucheng000/Paper-4/tree/main/cotta_mindspore

Cotton Yield Prediction Using Random Forest

https://github.com/yangyucheng000/Paper-4/tree/main/pfedkd

pFedAFM: Adaptive Feature Mixture for Batch-Level Personalization in Heterogeneous Federated Learning

https://github.com/yangyucheng000/papercode-2/tree/main/SDCF-mindspore-main

SDCNet: Video Prediction Using Spatially-Displaced Convolution

https://github.com/yaorong0921/Driver-Intention-Prediction

Driver Intention Anticipation Based on In-Cabin and Driving SceneMonitoring

https://github.com/ycccccccccc/Learning-unbiased-zero-shot-semantic-segmentation-networks-via-transductive-transfer

Learning unbiased zero-shot semantic segmentation networks via transductive transfer

https://github.com/ydchen0806/tokenunify

TokenUnify: Scalable Autoregressive Visual Pre-training with Mixture Token Prediction

https://github.com/yeefan1999/Explainable-Health-Prediction-with-Transfer-Learning

"Why Should I Trust You?": Explaining the Predictions of Any Classifier

https://github.com/ying531/conformal-selection

Selection by Prediction with Conformal p-values

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