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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/aminesi/robustness-on-device

공식 코드

Robustness Analysis of Deep Learning Frameworks on Mobile Platforms

https://github.com/amingolnari/Demo-Dynamic-Memory-Fusion-Framework

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Adaptive Real-Time Multi-Loss Function Optimization Using Dynamic Memory Fusion Framework: A Case Study on Breast Cancer Segmentation

https://github.com/amir-cardiolab/xai_fda

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Interpreting and generalizing deep learning in physics-based problems with functional linear models

https://github.com/amirhpd/grasp_verification

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Performance Evaluation of Low-Cost Machine Vision Cameras for Image-Based Grasp Verification

https://github.com/amirstar/Deep-Forecast

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Deep Forecast: Deep Learning-based Spatio-Temporal Forecasting

https://github.com/amoliu/CayleyNet

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CayleyNets: Graph Convolutional Neural Networks with Complex Rational Spectral Filters

https://github.com/anandkanav92/htune

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Black Magic in Deep Learning: How Human Skill Impacts Network Training

https://github.com/anastasiia-kornilova/MMDF

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Deep learning Framework for Mobile Microscopy

https://github.com/anasuamitra/ssdcm

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Semi-Supervised Deep Learning for Multiplex Networks

https://github.com/andersondaniel/neural-font-rendering

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Neural Font Rendering

https://github.com/andiva/DeepLieNet

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Matrix Lie Maps and Neural Networks for Solving Differential Equations

https://github.com/andreacodegoni/tiny_model_4_cd

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TINYCD: A (Not So) Deep Learning Model For Change Detection

https://github.com/andreea-glavan/multimodal-audiovisual-scene-recognition

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InstaIndoor and Multi-modal Deep Learning for Indoor Scene Recognition

https://github.com/andreslerma01/PSWF-

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Reconstruction of frequency-localized functions from pointwise samples via least squares and deep learning

https://github.com/angel-ayala/kutralnet

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KutralNet: A Portable Deep Learning Model for Fire Recognition

https://github.com/angelvillar96/super-resolution-noisy-images

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Deep learning architectural designs for super-resolution of noisy images

https://github.com/anh-tong/sigformer

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SigFormer: Signature Transformers for Deep Hedging

https://github.com/anicolson/DeepXi

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Deep Xi as a Front-End for Robust Automatic Speech Recognition

https://github.com/aniketmaurya/covid-research

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Predicting intubation support requirement of patients using Chest X-ray with Deep Representation Learning

https://github.com/anirudhsom/PI-Net

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PI-Net: A Deep Learning Approach to Extract Topological Persistence Images

https://github.com/anki-xyz/edgetpu

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Deep Learning on Edge TPUs

https://github.com/anminggu/kmixup-cifar10

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k-Mixup Regularization for Deep Learning via Optimal Transport

https://github.com/anmsajedulalam/Patients-Severity-States-Classification-based-on-EHR-Data-using-Multiple-Machine-and-Deep-Learning

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Patients' Severity States Classification based on Electronic Health Record (EHR) Data using Multiple Machine Learning and Deep Learning Approaches

https://github.com/anon-conf/d-DeVIS

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A Gray Box Interpretable Visual Debugging Approach for Deep Sequence Learning Model

https://github.com/anon-user-for-web/badlad

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BaDLAD: A Large Multi-Domain Bengali Document Layout Analysis Dataset

https://github.com/anonICLR2020/node

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Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data

https://github.com/anonymous-sok/sok_submission

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Efficiency Robustness of Dynamic Deep Learning Systems

https://github.com/anonymousNeurIPS2021submission5254/SupplementaryMaterial

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Muddling Label Regularization: Deep Learning for Tabular Datasets

https://github.com/anotherkaizhang/ms

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Predicting multiple sclerosis disease severity with multimodal deep neural networks

https://github.com/ansfl/doorinet

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DoorINet: Door Heading Prediction through Inertial Deep Learning

https://github.com/anshulranjan2004/pyhmm

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Hybrid ASR for Resource-Constrained Robots: HMM - Deep Learning Fusion

https://github.com/anthbapt/ricci-nn

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Deep Learning as Ricci Flow

https://github.com/antoinehabis/Deep-ContourFlow

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Deep ContourFlow: Advancing Active Contours with Deep Learning

https://github.com/antonior92/sysid-neuralnet

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Deep Convolutional Networks in System Identification

https://github.com/antonotnawang/naviairway

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NaviAirway: a Bronchiole-sensitive Deep Learning-based Airway Segmentation Pipeline

https://github.com/antonvalk/modl

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MODL: Multilearner Online Deep Learning

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