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Deep Learning

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

https://github.com/kandluis/yelp-star-reviews

공식 코드

Predicting Yelp Star Reviews Based on Network Structure with Deep Learning

https://github.com/kangliao929/awesome-deep-camera-calibration

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Deep Learning for Camera Calibration and Beyond: A Survey

https://github.com/karnwatcharasupat/latte

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Latte: Cross-framework Python Package for Evaluation of Latent-Based Generative Models

https://github.com/kasaai/deeptriangle

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DeepTriangle: A Deep Learning Approach to Loss Reserving

https://github.com/kaschube-lab/linkinginstyle

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Linking in Style: Understanding learned features in deep learning models

https://github.com/kateduffy/maiac-emulator

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A framework for deep learning emulation of numerical models with a case study in satellite remote sensing

https://github.com/katherlab/marugoto

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Regression-based Deep-Learning predicts molecular biomarkers from pathology slides

https://github.com/kathrinse/tabsurvey

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Deep Neural Networks and Tabular Data: A Survey

https://github.com/kaushalkumarsimmons/forecasting-crude-oil-prices-using-reservoir-computing-models

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Forecasting Crude Oil Prices Using Reservoir Computing Models

https://github.com/kaustubh0mani/BASS-Net

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BASS Net: Band-Adaptive Spectral-Spatial Feature Learning Neural Network for Hyperspectral Image Classification

https://github.com/kedz/nnsum

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Content Selection in Deep Learning Models of Summarization

https://github.com/kelvin-ju/survey-dlcps

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Deep Learning Methods for Calibrated Photometric Stereo and Beyond

https://github.com/kem975/deep_partial_least_squares

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Deep Partial Least Squares for Empirical Asset Pricing

https://github.com/ketanfatania/qmri-pnp-recon-poc

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A Plug-and-Play Approach to Multiparametric Quantitative MRI: Image Reconstruction using Pre-Trained Deep Denoisers

https://github.com/keunwoochoi/mir_deepnet_tutorial

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A Tutorial on Deep Learning for Music Information Retrieval

https://github.com/kevinkamm/deepcdo

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CDO calibration via Magnus Expansion and Deep Learning

https://github.com/kevinmaiden7/spanish_fakenewsdetection

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Fake News Detection in Spanish Using Deep Learning Techniques

https://github.com/kevinykuo/deeptriangle

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DeepTriangle: A Deep Learning Approach to Loss Reserving

https://github.com/kexinhuang12345/DeepPurpose

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DeepPurpose: a Deep Learning Library for Drug-Target Interaction Prediction

https://github.com/keyvan-amiri/pgtnet

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PGTNet: A Process Graph Transformer Network for Remaining Time Prediction of Business Process Instances

https://github.com/khalil-research/neur2ro

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Deep Learning for Two-Stage Robust Integer Optimization

https://github.com/khdlr/HED-UNet

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HED-UNet: Combined Segmentation and Edge Detection for Monitoring the Antarctic Coastline

https://github.com/khtao/StainNet

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StainNet: a fast and robust stain normalization network

https://github.com/kibrom2b/LFB-Net

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Learning With Context Feedback Loop for Robust Medical Image Segmentation

https://github.com/kimtae55/DeepFDR

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DeepFDR: A Deep Learning-based False Discovery Rate Control Method for Neuroimaging Data

https://github.com/kimvc7/HDL

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Holistic Deep Learning

https://github.com/kishanwn/decgreennet

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Learning Green's Function Efficiently Using Low-Rank Approximations

https://github.com/kjetil-lye/learning_airfoils

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Deep learning observables in computational fluid dynamics

https://github.com/kk7nc/HDLTex

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HDLTex: Hierarchical Deep Learning for Text Classification

https://github.com/kk7nc/RMDL

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RMDL: Random Multimodel Deep Learning for Classification

https://github.com/kky7/MSSNet

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MSSNet: Multi-Scale-Stage Network for Single Image Deblurring

https://github.com/klarh/flowws-keras-geometry

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Geometric Algebra Attention Networks for Small Point Clouds

https://github.com/klean2050/papilledema

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Automating Detection of Papilledema in Pediatric Fundus Images with Explainable Machine Learning

https://github.com/kmzzhang/deepCR-paper

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deepCR: Cosmic Ray Rejection with Deep Learning

https://github.com/knagrecha/hydra

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Hydra: A System for Large Multi-Model Deep Learning

https://github.com/kninad/skeleton-nn

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Skeletal Point Representations with Geometric Deep Learning

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