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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://forgemia.inra.fr/marianne.defresne/emmental-pll

공식 코드

Scalable Coupling of Deep Learning with Logical Reasoning

https://git.scc.kit.edu/kit-loe-ge/embedtrack

공식 코드

EmbedTrack -- Simultaneous Cell Segmentation and Tracking Through Learning Offsets and Clustering Bandwidths

https://github.com/13274086/DeepSC

공식 코드

Deep Learning Enabled Semantic Communication Systems

https://github.com/314-Foundation/white-box-nn

공식 코드

Towards White Box Deep Learning

https://github.com/32nguyen/DeepLearningFourierPtychographicMircoscopy

공식 코드

Deep learning approach to Fourier ptychographic microscopy

https://github.com/3riccc/neural_pruning

공식 코드

Neural Network Pruning by Gradient Descent

https://github.com/921kiyo/3d-dl

공식 코드

Synthetic dataset generation for object-to-model deep learning in industrial applications

https://github.com/99eren99/dirfiaf

공식 코드

Deep Image Restoration For Image Anti-Forensics

https://github.com/99eren99/dis25k

공식 코드

Deep Image Composition Meets Image Forgery

https://github.com/A-Ijishakin/Contrast-DiffAE

공식 코드

Interpretable Alzheimer's Disease Classification Via a Contrastive Diffusion Autoencoder

https://github.com/AFAgarap/relu-classifier

공식 코드

Deep Learning using Rectified Linear Units (ReLU)

https://github.com/AI2ES/miles-guess

공식 코드

Evidential Deep Learning: Enhancing Predictive Uncertainty Estimation for Earth System Science Applications

https://github.com/AIROBOTAI/caffe

공식 코드

Deep Learning with S-shaped Rectified Linear Activation Units

https://github.com/AIS-Bonn/stillleben

공식 코드

Stillleben: Realistic Scene Synthesis for Deep Learning in Robotics

https://github.com/AKC23/Harnessing-LLMs-over-transformer-models-for-detecting-Bengali-depressive-text-A-comprehensive-study

공식 코드

Harnessing Large Language Models Over Transformer Models for Detecting Bengali Depressive Social Media Text: A Comprehensive Study

https://github.com/ALFA-group/robust-adv-malware-detection

공식 코드

Adversarial Deep Learning for Robust Detection of Binary Encoded Malware

https://github.com/AaltoML/stationary-activations

공식 코드

Stationary Activations for Uncertainty Calibration in Deep Learning

https://github.com/Abdullah-88/Ensemble_Autoselection_SOCP

공식 코드

Autoselection of the Ensemble of Convolutional Neural Networks with Second-Order Cone Programming

https://github.com/Abhijeet8901/Deep-Learning-Based-MR-Image-Re-parameterization

공식 코드

Deep Learning-Based MR Image Re-parameterization

https://github.com/AdaCompNUS/qmdp-net

공식 코드

QMDP-Net: Deep Learning for Planning under Partial Observability

https://github.com/AdaptiveBProcess/DDSvsDL

공식 코드

Discovering Generative Models from Event Logs: Data-driven Simulation vs Deep Learning

https://github.com/Akshitaag/Sarcasm_Detection

공식 코드

"Did you really mean what you said?" : Sarcasm Detection in Hindi-English Code-Mixed Data using Bilingual Word Embeddings

https://github.com/AlbertZhangHIT/Hartley-spectral-pooling

공식 코드

Hartley Spectral Pooling for Deep Learning

https://github.com/Alebuenoaz/LSTM-and-GRU-Time-Series-Forecasting

공식 코드

Forecasting with Deep Learning

https://github.com/AlexImmer/Laplace

공식 코드

Bayesian Deep Learning via Subnetwork Inference

https://github.com/AlexImmer/marglik

공식 코드

Scalable Marginal Likelihood Estimation for Model Selection in Deep Learning

https://github.com/AlexMV12/PyCrCNN

공식 코드

A Privacy-Preserving Distributed Architecture for Deep-Learning-as-a-Service

https://github.com/AlexOlsen/DeepWeeds

공식 코드

DeepWeeds: A Multiclass Weed Species Image Dataset for Deep Learning

https://github.com/Ali-Stanford/PointCloudDeepLearningPorousMedia

공식 코드

Point-Cloud Deep Learning of Porous Media for Permeability Prediction

https://github.com/AlirezaShamsoshoara/Fire-Detection-UAV-Aerial-Image-Classification-Segmentation-UnmannedAerialVehicle

공식 코드

Aerial Imagery Pile burn detection using Deep Learning: the FLAME dataset

https://github.com/AmbitionXiang/TEDL

공식 코드

TEDL: A Text Encryption Method Based on Deep Learning

https://github.com/Amit507017/FedCollabNN

공식 코드

Private Dataset Generation Using Privacy Preserving Collaborative Learning

https://github.com/AnshThakur/Quantum-Encoding

공식 코드

Data Encoding For Healthcare Data Democratisation and Information Leakage Prevention

https://github.com/AntonioLonga/LightRDL

공식 코드

Boosting Relational Deep Learning with Pretrained Tabular Models

https://github.com/ArsamAryandoust/DataSelectionMaps

공식 코드

Enhanced spatio-temporal electric load forecasts using less data with active deep learning

https://github.com/Ashley-Davey/ML-for-S-Utility

공식 코드

Deep Learning Methods for S Shaped Utility Maximisation with a Random Reference Point

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