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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/reczoo/FuxiCTR

Deep Interest Evolution Network for Click-Through Rate Prediction

https://github.com/reeered/SMU-MindSpore

SMU: smooth activation function for deep networks using smoothing maximum technique

https://github.com/remigenet/TLN

TSMixer: An All-MLP Architecture for Time Series Forecasting

https://github.com/renato145/ClassificationUncertainty

Evidential Deep Learning to Quantify Classification Uncertainty

https://github.com/responsibleproblemsolving/energy-usage

Energy and Policy Considerations for Deep Learning in NLP

https://github.com/revbucket/mister_ed

Towards Deep Learning Models Resistant to Adversarial Attacks

https://github.com/rhoposit/MOS_Estimation

MOSNet: Deep Learning based Objective Assessment for Voice Conversion

https://github.com/rhoposit/MOS_Estimation2

MOSNet: Deep Learning based Objective Assessment for Voice Conversion

https://github.com/rhymesg/map_based_navigation

Aerial Map-Based Navigation Using Semantic Segmentation and Pattern Matching

https://github.com/richardobi/medigan

Enhancing the Utility of Privacy-Preserving Cancer Classification using Synthetic Data

https://github.com/richemslie/galvanise_zero

Thinking Fast and Slow with Deep Learning and Tree Search

https://github.com/richrast/spin

Self-Attention Between Datapoints: Going Beyond Individual Input-Output Pairs in Deep Learning

https://github.com/rickyHong/Graph-Net-repl-for-Jigsaw

Relational inductive biases, deep learning, and graph networks

https://github.com/ricupa/less-is-more-towards-parsimonious-multi-task-models-using-structured-sparsity

Structured Sparsity Inducing Adaptive Optimizers for Deep Learning

https://github.com/ridakadri14/AspectBasedSentimentAnalysis

Recent Trends in Deep Learning Based Natural Language Processing

https://github.com/rish-16/rna-backbone-design

gRNAde: Geometric Deep Learning for 3D RNA inverse design

https://github.com/rishabhydv/fakenews

Fake news detection using Deep Learning

https://github.com/rocm/tensorcast

Microscaling Data Formats for Deep Learning

https://github.com/rodsveiga/hidden_physical_models

Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations

https://github.com/rodsveiga/rbm_flows_ising

An exact mapping between the Variational Renormalization Group and Deep Learning

https://github.com/rshnn/xray-denoising

Training Deep Learning Based Denoisers without Ground Truth Data

https://github.com/rubenve95/Deep-Cuboid-Detection

Deep Cuboid Detection: Beyond 2D Bounding Boxes

https://github.com/ruhyadi/YOLO3D

3D Bounding Box Estimation Using Deep Learning and Geometry

https://github.com/ruhyadi/yolo3d-lightning

3D Bounding Box Estimation Using Deep Learning and Geometry

https://github.com/ruiponte1990/svhn

A guide to convolution arithmetic for deep learning

https://github.com/ruixinhua/explainednrs

A Novel Perspective to Look At Attention: Bi-level Attention-based Explainable Topic Modeling for News Classification

https://github.com/rusty1s/pytorch_spline_conv

SplineCNN: Fast Geometric Deep Learning with Continuous B-Spline Kernels

https://github.com/rvorias/uvHolographics

Segmentation-Based Deep-Learning Approach for Surface-Defect Detection

https://github.com/rwightman/pytorch-image-models

Xception: Deep Learning with Depthwise Separable Convolutions

https://github.com/ryan-perk/olympic_mining

A guide to convolution arithmetic for deep learning

https://github.com/ryanhalabi/starcraft_super_resolution

Deep Learning for Single Image Super-Resolution: A Brief Review

https://github.com/ryanlucas3/hr_neural_networks

Overfitting in adversarially robust deep learning

https://github.com/s-huu/pmtl

Deep Learning with Differential Privacy

https://github.com/sabrisangjaya/plantdoctor

Using Deep Learning for Image-Based Plant Disease Detection

https://github.com/sachinbiradar9/question-answer-selection

LSTM-based Deep Learning Models for Non-factoid Answer Selection

https://github.com/safe-graph/GNN-FakeNews

Fake News Detection on Social Media using Geometric Deep Learning

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