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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/sheikhazhanmohammed/sadma

공식 코드

ResAttUNet: Detecting Marine Debris using an Attention activated Residual UNet

https://github.com/shendu-sw/statistical-loss

공식 코드

Statistical Loss and Analysis for Deep Learning in Hyperspectral Image Classification

https://github.com/sheng029/whu-stereo

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WHU-Stereo: A Challenging Benchmark for Stereo Matching of High-Resolution Satellite Images

https://github.com/shenweichen/DSIN

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Deep Session Interest Network for Click-Through Rate Prediction

https://github.com/sherbold/replication-kit-2022-non-dl-diff-test

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Differential testing for machine learning: an analysis for classification algorithms beyond deep learning

https://github.com/sherbret/nl-ridge

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Towards a unified view of unsupervised non-local methods for image denoising: the NL-Ridge approach

https://github.com/sherry6247/dkinet

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DKINet: Medication Recommendation via Domain Knowledge Informed Deep Learning

https://github.com/shigangli/ok-topk

공식 코드

Near-Optimal Sparse Allreduce for Distributed Deep Learning

https://github.com/shijiew97/neuralg

공식 코드

Neural-g: A Deep Learning Framework for Mixing Density Estimation

https://github.com/shivram1987/activationfunctions

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Activation Functions in Deep Learning: A Comprehensive Survey and Benchmark

https://github.com/shlezingerlab/mbdl_book

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Model-Based Deep Learning

https://github.com/shlezingerlab/subspacenet

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SubspaceNet: Deep Learning-Aided Subspace Methods for DoA Estimation

https://github.com/shomerthesec/Research_timeseries_forecasting_using_ashrae_dataset

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Transfer Learning in Deep Learning Models for Building Load Forecasting: Case of Limited Data

https://github.com/short-greg/zenkai

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Zenkai -- Framework For Exploring Beyond Backpropagation

https://github.com/shruti-jadon/Covid-19-Detection

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COVID-19 detection from scarce chest x-ray image data using few-shot deep learning approach

https://github.com/shruti-jadon/Hands-on-One-Shot-Learning

공식 코드

An Overview of Deep Learning Architectures in Few-Shot Learning Domain

https://github.com/shruti-jadon/Siamese-Network-for-One-shot-Learning

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Improving Siamese Networks for One Shot Learning using Kernel Based Activation functions

https://github.com/shuailinxue/stentrans

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stEnTrans: Transformer-based deep learning for spatial transcriptomics enhancement

https://github.com/shuguoj/hsi-classification

공식 코드

A Survey: Deep Learning for Hyperspectral Image Classification with Few Labeled Samples

https://github.com/shuntama/srdd

공식 코드

Image Super-Resolution with Deep Dictionary

https://github.com/shuowang-ai/PM2.5-GNN

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PCDCNet: A Surrogate Model for Air Quality Forecasting with Physical-Chemical Dynamics and Constraints

https://github.com/siat-invs/carlaflcav

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Federated Deep Learning Meets Autonomous Vehicle Perception: Design and Verification

https://github.com/siavash91/Td-INDP-NN

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Deep Learning-based Resource Allocation for Infrastructure Resilience

https://github.com/sidchaini/margnet

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Photometric identification of compact galaxies, stars and quasars using multiple neural networks

https://github.com/siddancha/FlowVerify

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Combining Deep Learning and Verification for Precise Object Instance Detection

https://github.com/sijieji/jpts

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Enhancing Deep Learning Performance of Massive MIMO CSI Feedback

https://github.com/silvialava/HJM_calibration_with_NN

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Accuracy of Deep Learning in Calibrating HJM Forward Curves

https://github.com/simon-tan/ikt

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Interpretable Knowledge Tracing: Simple and Efficient Student Modeling with Causal Relations

https://github.com/singh-l/hybrrid_fn_dat_

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Hybrid Ensemble for Fake News Detection: An attempt

https://github.com/singingkettle/changshuoradiodata

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Joint Signal Detection and Automatic Modulation Classification via Deep Learning

https://github.com/singlaayush/barttender

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Barttender: An approachable & interpretable way to compare medical imaging and non-imaging data

https://github.com/singlasahil14/CASO

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Understanding Impacts of High-Order Loss Approximations and Features in Deep Learning Interpretation

https://github.com/singlasahil14/salient_imagenet

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Salient ImageNet: How to discover spurious features in Deep Learning?

https://github.com/siqixu/deepmed

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DeepMed: Semiparametric Causal Mediation Analysis with Debiased Deep Learning

https://github.com/sisinflab/formal-multimod-rec

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Formalizing Multimedia Recommendation through Multimodal Deep Learning

https://github.com/sitar-lab/NeuSight

공식 코드

Forecasting GPU Performance for Deep Learning Training and Inference

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