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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/vanvalenlab/deepcell-tf

공식 코드

Deep Learning in Single-Cell Analysis

https://github.com/vbayeslab/deepvol

공식 코드

Global Neural Networks and The Data Scaling Effect in Financial Time Series Forecasting

https://github.com/vbayeslab/realrech

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Deep Learning Enhanced Realized GARCH

https://github.com/vcerqueira/experiments-online_augmentation

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Online Data Augmentation for Forecasting with Deep Learning

https://github.com/vdumoulin/conv_arithmetic

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A guide to convolution arithmetic for deep learning

https://github.com/vegarant/Invfool

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On instabilities of deep learning in image reconstruction - Does AI come at a cost?

https://github.com/vegarant/false_structures

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What do AI algorithms actually learn? - On false structures in deep learning

https://github.com/vermaMachineLearning/Graph-Capsule-CNN-Networks

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Graph Capsule Convolutional Neural Networks

https://github.com/vglsd/SkyCam

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SkyCam: A Dataset of Sky Images and their Irradiance values

https://github.com/victorychain/Adversarial-Policy-Gradient-Augmentation

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Adversarial Policy Gradient for Deep Learning Image Augmentation

https://github.com/vignywang/awesome-local-feature-matching

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Local Feature Matching Using Deep Learning: A Survey

https://github.com/villrv/vraenn

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A Deep Learning Approach for Active Anomaly Detection of Extragalactic Transients

https://github.com/vinbigdata-medical/vindr-spinexr

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VinDr-SpineXR: A deep learning framework for spinal lesions detection and classification from radiographs

https://github.com/vinuni-vishc/d-sarcnet

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D-SarcNet: A Dual-stream Deep Learning Framework for Automatic Analysis of Sarcomere Structures in Fluorescently Labeled hiPSC-CMs

https://github.com/viscom-ulm/GINN

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Deep-learning the Latent Space of Light Transport

https://github.com/vishal-2000/EDMP

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EDMP: Ensemble-of-costs-guided Diffusion for Motion Planning

https://github.com/visionverse/blind-motion-deblurring-survey

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Deep learning in motion deblurring: current status, benchmarks and future prospects

https://github.com/vitomichele/Repository-of-paper-Deep-Learning-Super-Diffusion-in-Multiplex-Networks

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Deep Learning Super-Diffusion in Multiplex Networks

https://github.com/vladim0105/gridhtm

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Grid HTM: Hierarchical Temporal Memory for Anomaly Detection in Videos

https://github.com/vlbthambawita/MedicoTask_2019_paper_2

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Extracting temporal features into a spatial domain using autoencoders for sperm video analysis

https://github.com/vlislab22/Deep-Learning-for-Event-based-Vision

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Deep Learning for Event-based Vision: A Comprehensive Survey and Benchmarks

https://github.com/vmorgenshtern/deepsegmentation

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Region segmentation via deep learning and convex optimization

https://github.com/volpato30/DeepNovoV2

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DeepNovoV2: Better de novo peptide sequencing with deep learning

https://github.com/voodooed/LBLIS

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Toward Physics-Aware Deep Learning Architectures for LiDAR Intensity Simulation

https://github.com/vpronina/DeepWienerRestoration

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Microscopy Image Restoration with Deep Wiener-Kolmogorov filters

https://github.com/vribeiro1/skin-lesion-segmentation-agreement

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Less is More: Sample Selection and Label Conditioning Improve Skin Lesion Segmentation

https://github.com/vrodriguezf/deepvats

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Exploring Scalability in Large-Scale Time Series in DeepVATS framework

https://github.com/vsrana-ai/SmartPhil

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TF-IDF vs Word Embeddings for Morbidity Identification in Clinical Notes: An Initial Study

https://github.com/wOOL/DMTRL

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Deep Multi-task Representation Learning: A Tensor Factorisation Approach

https://github.com/wagner-group/diversevul

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DiverseVul: A New Vulnerable Source Code Dataset for Deep Learning Based Vulnerability Detection

https://github.com/wangmiaowei/CVDancer_Classification

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Classification of Smoking and Calling using Deep Learning

https://github.com/wangziblake/MoDern

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A Sparse Model-inspired Deep Thresholding Network for Exponential Signal Reconstruction -- Application in Fast Biological Spectroscopy

https://github.com/wanzhongsong/dl-spu

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Deep Learning-enabled Spatial Phase Unwrapping for 3D Measurement

https://github.com/warmthless/split-deconvolution

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Accelerating Generative Neural Networks on Unmodified Deep Learning Processors -- A Software Approach

https://github.com/wasimahmadpk/gcause

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Deep Learning-based Group Causal Inference in Multivariate Time-series

https://github.com/waterdisappear/data-bias-in-mstar

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Discovering and Explaining the Non-Causality of Deep Learning in SAR ATR

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