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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/bu-cisl/sbrnet

공식 코드

Robust single-shot 3D fluorescence imaging in scattering media with a simulator-trained neural network

https://github.com/buaa-hipo/dlcompiler-comparison

공식 코드

The Deep Learning Compiler: A Comprehensive Survey

https://github.com/burakekim/MTL_homoscedastic_SRB

공식 코드

A Multi-Task Deep Learning Framework for Building Footprint Segmentation

https://github.com/buraksatar/car-detection-model-prediction

공식 코드

Deep Learning Based Vehicle Make-Model Classification

https://github.com/c-hofer/nips2017

공식 코드

Deep Learning with Topological Signatures

https://github.com/c-hofer/persistent_homology_toolbox

공식 코드

Deep Learning with Topological Signatures

https://github.com/cadurosar/pgdl

공식 코드

Ranking Deep Learning Generalization using Label Variation in Latent Geometry Graphs

https://github.com/caglarmert/mage

공식 코드

Exploring Challenges in Deep Learning of Single-Station Ground Motion Records

https://github.com/caiguohui123/awesome-lung-cancer-detection

공식 코드

Medical Artificial Intelligence for Early Detection of Lung Cancer: A Survey

https://github.com/cake-lab/Sync-Switch

공식 코드

Sync-Switch: Hybrid Parameter Synchronization for Distributed Deep Learning

https://github.com/callumbarltrop/degemoh

공식 코드

A comparison of generative deep learning methods for multivariate angular simulation

https://github.com/camcastera/INNA-for-DeepLearning

공식 코드

An Inertial Newton Algorithm for Deep Learning

https://github.com/camcastera/Indian-for-DeepLearning

공식 코드

An Inertial Newton Algorithm for Deep Learning

https://github.com/camma-public/cvs_annotator

공식 코드

Surgical data science for safe cholecystectomy: a protocol for segmentation of hepatocystic anatomy and assessment of the critical view of safety

https://github.com/caperock/robustai

공식 코드

Benchmarking Robustness of Deep Learning Classifiers Using Two-Factor Perturbation

https://github.com/carlesventura/iterative-deep-learning

공식 코드

Iterative Deep Learning for Road Topology Extraction

https://github.com/carlos-gg/dl4ds

공식 코드

DL4DS -- Deep Learning for empirical DownScaling

https://github.com/carlosholivan/DeepLearningMusicGeneration

공식 코드

Music Composition with Deep Learning: A Review

https://github.com/cars-lab-repo/noodle

공식 코드

Uncertainty-Aware Hardware Trojan Detection Using Multimodal Deep Learning

https://github.com/cartannetworks/cartan_networks

공식 코드

Cartan Networks: Group theoretical Hyperbolic Deep Learning

https://github.com/cartucho/surgt_benchmarking

공식 코드

SurgT challenge: Benchmark of Soft-Tissue Trackers for Robotic Surgery

https://github.com/casus/pi-ddpm

공식 코드

Microscopy image reconstruction with physics-informed denoising diffusion probabilistic model

https://github.com/cbjuan/tokenizers-neural-nets-2020-paper

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Automated Source Code Generation and Auto-completion Using Deep Learning: Comparing and Discussing Current Language-Model-Related Approaches

https://github.com/cdiazbas/enhance

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Enhancing SDO/HMI images using deep learning

https://github.com/cemunds/ifcnet-models

공식 코드

IFCNet: A Benchmark Dataset for IFC Entity Classification

https://github.com/cfchen-duke/ProtoPNet

공식 코드

This Looks Like That: Deep Learning for Interpretable Image Recognition

https://github.com/cgoliver/rnaglib

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A Comprehensive Benchmark for RNA 3D Structure-Function Modeling

https://github.com/chaeger/LDBP

공식 코드

Physics-Based Deep Learning for Fiber-Optic Communication Systems

https://github.com/chainer/chainermn

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ChainerMN: Scalable Distributed Deep Learning Framework

https://github.com/chairiq/FoodCNNs

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Deep learning approaches in food recognition

https://github.com/chaitjo/geometric-rna-design

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gRNAde: Geometric Deep Learning for 3D RNA inverse design

https://github.com/chandar-lab/CGOptimizer

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Memory Augmented Optimizers for Deep Learning

https://github.com/changhao-chen/deep-learning-localization-mapping

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A Survey on Deep Learning for Localization and Mapping: Towards the Age of Spatial Machine Intelligence

https://github.com/chao-tan/CMWNet

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Generating the Cloud Motion Winds Field from Satellite Cloud Imagery Using Deep Learning Approach

https://github.com/chaos-boops/stcl

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STCL:Curriculum learning Strategies for deep learning image steganography models

https://github.com/charsyme/Human-Data-Generation-Framework

공식 코드

Efficient Realistic Data Generation Framework leveraging Deep Learning-based Human Digitization

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