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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/yavaryeganeh/aif_meeting_eec

공식 코드

Active Inference Meeting Energy-Efficient Control of Parallel and Identical Machines

https://github.com/yaxirhuxxain/TransferLearning

공식 코드

Deep Transfer Learning for Source Code Modeling

https://github.com/yc2367/bbs-micro

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BBS: Bi-directional Bit-level Sparsity for Deep Learning Acceleration

https://github.com/ycd2016/shellnouns

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Deep Learning-based approaches for automatic detection of shell nouns and evaluation on WikiText-2

https://github.com/yd1008/ts_ensemble_sunspot

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A comparative study of non-deep learning, deep learning, and ensemble learning methods for sunspot number prediction

https://github.com/ydu0117/reconfairness

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Unveiling Fairness Biases in Deep Learning-Based Brain MRI Reconstruction

https://github.com/yechengxi/LightNet

공식 코드

LightNet: A Versatile, Standalone Matlab-based Environment for Deep Learning

https://github.com/yehudagale/fuzzyjoiner

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Merging datasets through deep learning

https://github.com/yelboudouri/EmoNeXt

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EmoNeXt: an Adapted ConvNeXt for Facial Emotion Recognition

https://github.com/yewzijian/RPMNet

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RPM-Net: Robust Point Matching using Learned Features

https://github.com/yhsong98/ct-us-i2i-translation

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S-CycleGAN: Semantic Segmentation Enhanced CT-Ultrasound Image-to-Image Translation for Robotic Ultrasonography

https://github.com/yhzhu99/covid-ehr-benchmarks

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A Comprehensive Benchmark for COVID-19 Predictive Modeling Using Electronic Health Records in Intensive Care

https://github.com/yhzhu99/pyehr

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A Comprehensive Benchmark for COVID-19 Predictive Modeling Using Electronic Health Records in Intensive Care

https://github.com/yhzhu99/pyehr-playground

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A Comprehensive Benchmark for COVID-19 Predictive Modeling Using Electronic Health Records in Intensive Care

https://github.com/yicjia/DeepQuantreg

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Deep Learning for Quantile Regression under Right Censoring: DeepQuantreg

https://github.com/yicjia/deepcent

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DeepCENT: Prediction of Censored Event Time via Deep Learning

https://github.com/yihanjiang/Sequential-RNN-Decoder

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Communication Algorithms via Deep Learning

https://github.com/yingtaoluo/Causal-Healthcare-Emebedding

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Deep Stable Representation Learning on Electronic Health Records

https://github.com/yingtaoluo/phydl-nwp

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Physics-Guided Learning of Meteorological Dynamics for Weather Downscaling and Forecasting

https://github.com/yiruiliu110/df2m

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Deep Functional Factor Models: Forecasting High-Dimensional Functional Time Series via Bayesian Nonparametric Factorization

https://github.com/ylimit/ModelDiff

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ModelDiff: Testing-Based DNN Similarity Comparison for Model Reuse Detection

https://github.com/ymli39/ACEnet-for-Neuroanatomy-Segmentation

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ACEnet: Anatomical Context-Encoding Network for Neuroanatomy Segmentation

https://github.com/ymli39/deepadc-net-learning-apparent-diffusion-coefficient-maps

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Learning Apparent Diffusion Coefficient Maps from Accelerated Radial k-Space Diffusion-Weighted MRI in Mice using a Deep CNN-Transformer Model

https://github.com/yonatandn/Uncertainty-extraction-in-Model-Based-DL

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Bayesian KalmanNet: Quantifying Uncertainty in Deep Learning Augmented Kalman Filter

https://github.com/yoshall/awesome-multimodal-urban-computing

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Deep Learning for Cross-Domain Data Fusion in Urban Computing: Taxonomy, Advances, and Outlook

https://github.com/yoshall/awesome-trajectory-computing

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Deep Learning for Trajectory Data Management and Mining: A Survey and Beyond

https://github.com/yotamgurfinkel/deeplearningondevice

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Deep Learning on Home Drone: Searching for the Optimal Architecture

https://github.com/youjiangxu/FaMUS

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Faster Meta Update Strategy for Noise-Robust Deep Learning

https://github.com/yu-takagi/stablediffusionreconstruction

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Improving visual image reconstruction from human brain activity using latent diffusion models via multiple decoded inputs

https://github.com/yuankaihuo/EasierPath

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EasierPath: An Open-source Tool for Human-in-the-loop Deep Learning of Renal Pathology

https://github.com/yuanpeng16/bcdlsg

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On a Built-in Conflict between Deep Learning and Systematic Generalization

https://github.com/yuanzhengthu/handDrawnPAAImages

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Self-similarity-based super-resolution of photoacoustic angiography from hand-drawn doodles

https://github.com/yue-t99/pointnet2-geometricfeatures-facade

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Classifying point clouds at the facade-level using geometric features and deep learning networks

https://github.com/yueyueL/DL-based-Android-Malware-Defenses-review

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Deep Learning for Android Malware Defenses: a Systematic Literature Review

https://github.com/yuhangming/aegis-net

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AEGIS-Net: Attention-guided Multi-Level Feature Aggregation for Indoor Place Recognition

https://github.com/yuhaozhang7/NGD-SLAM

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NGD-SLAM: Towards Real-Time Dynamic SLAM without GPU

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