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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/nvedant07/Fairness-Through-Robustness

공식 코드

Fairness Through Robustness: Investigating Robustness Disparity in Deep Learning

https://github.com/nvidia/modulus

공식 코드

Advancing Parsimonious Deep Learning Weather Prediction using the HEALPix Mesh

https://github.com/nvlabs/nprach_synch

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Deep Learning-Based Synchronization for Uplink NB-IoT

https://github.com/odlgroup/odl

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SGD-Net: Efficient Model-Based Deep Learning with Theoretical Guarantees

https://github.com/oeway/ImJoy

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ImJoy: an open-source computational platform for the deep learning era

https://github.com/ofsoundof/3D_Appearance_SR

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3D Appearance Super-Resolution with Deep Learning

https://github.com/olha-kaminska/frnn_emotion_detection

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Fuzzy-Rough Nearest Neighbour Approaches for Emotion Detection in Tweets

https://github.com/olliestephenson/dpm-rnn-public

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Deep Learning-based Damage Mapping with InSAR Coherence Time Series

https://github.com/omar9008-eng/Object-Detection-Tracking-2025

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Object Detection and Tracking

https://github.com/omicsml/dance

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Deep Learning in Single-Cell Analysis

https://github.com/omidmnezami/Engagement-Recognition

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Automatic Recognition of Student Engagement using Deep Learning and Facial Expression

https://github.com/ondrejba/aamas_19

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Online Abstraction with MDP Homomorphisms for Deep Learning

https://github.com/onlyzdd/ecg-diagnosis

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Interpretable Deep Learning for Automatic Diagnosis of 12-lead Electrocardiogram

https://github.com/oopshell/Pixel-Blocks-Mixing-For-Image-Privacy-Preservation

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A Lightweight Privacy-Preserving Scheme Using Label-based Pixel Block Mixing for Image Classification in Deep Learning

https://github.com/openvinotoolkit/anomalib

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Anomalib: A Deep Learning Library for Anomaly Detection

https://github.com/orion-ai-lab/wildfirespread

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Wildfire spread forecasting with Deep Learning

https://github.com/ornl/aadl

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Stable Anderson Acceleration for Deep Learning

https://github.com/oroojlooy/newsvendor

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Applying Deep Learning to the Newsvendor Problem

https://github.com/ostadabbas/ScanAvaGenerationToolkit

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A Semi-Supervised Data Augmentation Approach using 3D Graphical Engines

https://github.com/oswaldoludwig/Eigenvalue-Decay-Regularizer-for-Keras

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Deep Learning with Eigenvalue Decay Regularizer

https://github.com/othmanela/medical_cert_seg

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Certification of Deep Learning Models for Medical Image Segmentation

https://github.com/oustudent/neuraloptimizersearch

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Neural Optimizer Equation, Decay Function, and Learning Rate Schedule Joint Evolution

https://github.com/owen234/designer-obs-paper

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Designing Observables for Measurements with Deep Learning

https://github.com/oxquantum-repo/identifying-psb

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Identifying Pauli spin blockade using deep learning

https://github.com/p2irc/deepwheat_WACV-2018

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DeepWheat: Estimating Phenotypic Traits from Crop Images with Deep Learning

https://github.com/p2irc/leaf_count_ICCVW-2017

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Leaf Counting with Deep Convolutional and Deconvolutional Networks

https://github.com/paigautam/DIMAL

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DIMAL: Deep Isometric Manifold Learning Using Sparse Geodesic Sampling

https://github.com/panchengzhao/concealed-dense-prediction

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Deep Learning in Concealed Dense Prediction

https://github.com/parham-ap/cytology_dataset

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A New Cervical Cytology Dataset for Nucleus Detection and Image Classification (Cervix93) and Methods for Cervical Nucleus Detection

https://github.com/parrt/bookish

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The Matrix Calculus You Need For Deep Learning

https://github.com/parthnatekar/pgdl

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Representation Based Complexity Measures for Predicting Generalization in Deep Learning

https://github.com/particlegrid/particlegrid

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ParticleGrid: Enabling Deep Learning using 3D Representation of Materials

https://github.com/pasqualedem/roweeder

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RoWeeder: Unsupervised Weed Mapping through Crop-Row Detection

https://github.com/pasquini-dario/InterpretablePPSM

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Interpretable Probabilistic Password Strength Meters via Deep Learning

https://github.com/patrickzh/deepcore

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DeepCore: A Comprehensive Library for Coreset Selection in Deep Learning

https://github.com/paulalbert31/clover_ssl

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Unsupervised domain adaptation and super resolution on drone images for autonomous dry herbage biomass estimation

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