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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/ml-kuleuven/deepproblog

공식 코드

DeepProbLog: Neural Probabilistic Logic Programming

https://github.com/ml-postech/robust-deep-learning-from-crowds-with-belief-propagation

공식 코드

Robust Deep Learning from Crowds with Belief Propagation

https://github.com/ml-progress/compute-trends

공식 코드

Compute Trends Across Three Eras of Machine Learning

https://github.com/ml-research/answersetnetworks

공식 코드

Answer Set Networks: Casting Answer Set Programming into Deep Learning

https://github.com/ml-research/nsfr

공식 코드

Neuro-Symbolic Forward Reasoning

https://github.com/ml-stat-sustech/torchcp

공식 코드

TorchCP: A Python Library for Conformal Prediction

https://github.com/mlds-lab/interp-net

공식 코드

Modeling Irregularly Sampled Clinical Time Series

https://github.com/mlds-nus/deeplearningcustomthermodynamics

공식 코드

Constructing Custom Thermodynamics Using Deep Learning

https://github.com/mleming/mucran

공식 코드

Adversarial confound regression and uncertainty measurements to classify heterogeneous clinical MRI in Mass General Brigham

https://github.com/mli-lab/scaling_laws_for_deep_learning_based_image_reconstruction

공식 코드

Scaling Laws For Deep Learning Based Image Reconstruction

https://github.com/mlivanos/backbonessdm24

공식 코드

Identification and Uses of Deep Learning Backbones via Pattern Mining

https://github.com/mlmed/chester-xray

공식 코드

Chester: A Web Delivered Locally Computed Chest X-Ray Disease Prediction System

https://github.com/mmu-dermatology-research/dca_artifact_removal

공식 코드

Dermoscopic Dark Corner Artifacts Removal: Friend or Foe?

https://github.com/mmv-lab/data-compression

공식 코드

Deep learning based Image Compression for Microscopy Images: An Empirical Study

https://github.com/moberweger/deep-prior

공식 코드

Hands Deep in Deep Learning for Hand Pose Estimation

https://github.com/modern-fortran/neural-fortran

공식 코드

A parallel Fortran framework for neural networks and deep learning

https://github.com/mohaimenz/pruning-xnor

공식 코드

Pruning vs XNOR-Net: A Comprehensive Study of Deep Learning for Audio Classification on Edge-devices

https://github.com/mohamedasuliman/geomorph

공식 코드

Unsupervised Multimodal Surface Registration with Geometric Deep Learning

https://github.com/mohit3011/Online-Antisemitism-Detection-Using-MultimodalDeep-Learning

공식 코드

"Subverting the Jewtocracy": Online Antisemitism Detection Using Multimodal Deep Learning

https://github.com/moiexpositoalonsolab/DivShift

공식 코드

DivShift: Exploring Domain-Specific Distribution Shifts in Large-Scale, Volunteer-Collected Biodiversity Datasets

https://github.com/moinnabi/SelfPacedDeepLearning

공식 코드

Self Paced Deep Learning for Weakly Supervised Object Detection

https://github.com/mojtaba-Hsafa/train_accidents

공식 코드

Analysis of Railway Accidents' Narratives Using Deep Learning

https://github.com/momut1/lucasvision

공식 코드

Crop identification using deep learning on LUCAS crop cover photos

https://github.com/mouna99/dien

공식 코드

Deep Interest Evolution Network for Click-Through Rate Prediction

https://github.com/mp2893/gram

공식 코드

GRAM: Graph-based Attention Model for Healthcare Representation Learning

https://github.com/mpekalski/Y8M

공식 코드

Deep Learning Methods for Efficient Large Scale Video Labeling

https://github.com/mpicbg-csbd/phasenet

공식 코드

Practical sensorless aberration estimation for 3D microscopy with deep learning

https://github.com/mr-ravin/aptx_activation

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APTx: better activation function than MISH, SWISH, and ReLU's variants used in deep learning

https://github.com/mr7495/Pesteh-Set

공식 코드

Detecting and Counting Pistachios based on Deep Learning

https://github.com/mr7495/Pistachio-Counting

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Detecting and Counting Pistachios based on Deep Learning

https://github.com/mrirecon/deep-deep-learning-with-bart

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Deep, Deep Learning with BART

https://github.com/mrirecon/dl-segmentation-realtime-cmr

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Assessment of Deep Learning Segmentation for Real-Time Free-Breathing Cardiac Magnetic Resonance Imaging at Rest and Under Exercise Stress

https://github.com/mrirecon/spreco

공식 코드

MRI Reconstruction Using Deep Bayesian Estimation

https://github.com/mrottmann/MetaSeg

공식 코드

Detection of False Positive and False Negative Samples in Semantic Segmentation

https://github.com/msalhab96/AraSpell

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AraSpell: A Deep Learning Approach for Arabic Spelling Correction

https://github.com/msfasha/TextImagesToolkit

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A Hybrid Deep Learning Model for Arabic Text Recognition

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