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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/VedikaSrivastava/GeoMapper

공식 코드

Geolocating Earth Imagery from ISS: Integrating Machine Learning with Astronaut Photography for Enhanced Geographic Mapping

https://github.com/VieraMaslej/eclipsing-binary-stars

공식 코드

Automatic classification of eclipsing binary stars using deep learning methods

https://github.com/WeiFoo/EasyOverHard

공식 코드

Easy over Hard: A Case Study on Deep Learning

https://github.com/Weixin-Liang/NeuralGroupTesting

공식 코드

Neural Group Testing to Accelerate Deep Learning

https://github.com/WenjieDu/PyPOTS

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FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting

https://github.com/WenjieDu/SAITS

공식 코드

Deep Learning for Multivariate Time Series Imputation: A Survey

https://github.com/Wx-Alliance-Alliance-Meteo/WxFactory

공식 코드

Deep Learning for Koopman Operator Estimation in Idealized Atmospheric Dynamics

https://github.com/Wyb0627/KBLink

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KGLink: A column type annotation method that combines knowledge graph and pre-trained language model

https://github.com/XN-BoWenMa/Chapter-category-identification

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Enhancing Identification of Structure Function of Academic Articles Using Contextual Information

https://github.com/XiaoxiaoMa-MQ/Awesome-Deep-Graph-Anomaly-Detection

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A Comprehensive Survey on Graph Anomaly Detection with Deep Learning

https://github.com/XiongweiWu/Awesome-Object-Detection

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Recent Advances in Deep Learning for Object Detection

https://github.com/YMA33/CPU-GPU-SGD

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Heterogeneous CPU+GPU Stochastic Gradient Descent Algorithms

https://github.com/YangLIN1997/SSDNet-ICDM2021

공식 코드

SSDNet: State Space Decomposition Neural Network for Time Series Forecasting

https://github.com/Ydo-W/DparNet

공식 코드

Infrared Image Deturbulence Restoration Using Degradation Parameter-Assisted Wide & Deep Learning

https://github.com/YemanBrhane/AwareNet

공식 코드

Cell abundance aware deep learning for cell detection on highly imbalanced pathological data

https://github.com/Yfyangd/CVPR2022

공식 코드

Semiconductor Defect Detection by Hybrid Classical-Quantum Deep Learning

https://github.com/YhuoyuH/RetinexMamba

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Retinexmamba: Retinex-based Mamba for Low-light Image Enhancement

https://github.com/YinanZhao21/DeepLearningShell

공식 코드

Improving Earth-like planet detection in radial velocity using deep learning

https://github.com/YinpeiDai/NAUM

공식 코드

Deep learning for language understanding of mental health concepts derived from Cognitive Behavioural Therapy

https://github.com/Yu-Group/adaptive-wavelet-distillation

공식 코드

Interpreting and improving deep-learning models with reality checks

https://github.com/Yura52/tabular-dl-num-embeddings

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On Embeddings for Numerical Features in Tabular Deep Learning

https://github.com/Yura52/tabular-dl-revisiting-models

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Revisiting Deep Learning Models for Tabular Data

https://github.com/Z-T-WANG/DeepReinforcementLearningControlOfQuantumCartpoles

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Deep Reinforcement Learning Control of Quantum Cartpoles

https://github.com/ZHANGHeng19931123/MutualGuide

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Localize to Classify and Classify to Localize: Mutual Guidance in Object Detection

https://github.com/ZJU-BrainNet/BrainBenchmark

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Deep Learning-Powered Electrical Brain Signals Analysis: Advancing Neurological Diagnostics

https://github.com/Zafiirah13/meercrab

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MeerCRAB: MeerLICHT Classification of Real and Bogus Transients using Deep Learning

https://github.com/ZhejianglabNCRC/SPAIC

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SPAIC: A Spike-based Artificial Intelligence Computing Framework

https://github.com/ZhihuaLiuEd/SoTA-Brain-Tumor-Segmentation

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Deep Learning Based Brain Tumor Segmentation: A Survey

https://github.com/ZhiwenShao/MCNet-Extension

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Deep Multi-Center Learning for Face Alignment

https://github.com/ZigZagframework/zigzag_framework

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Towards Making Deep Learning-based Vulnerability Detectors Robust

https://github.com/ZitongYu/DeepFAS

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Deep Learning for Face Anti-Spoofing: A Survey

https://github.com/ZouWenXuan/Liquid-like-deep-learning

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Data-driven effective model shows a liquid-like deep learning

https://github.com/a-nico/ArrayFlow

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Deep Learning Framework From Scratch Using Numpy

https://github.com/aakashrkaku/seq2seq_hrar

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PrimSeq: a deep learning-based pipeline to quantitate rehabilitation training

https://github.com/aaltoml/calibrated-dnn

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Fixing Overconfidence in Dynamic Neural Networks

https://github.com/aaltoml/suq

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Streamlining Prediction in Bayesian Deep Learning

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