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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/aasensio/neural-mfbd

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Accelerating Multiframe Blind Deconvolution via Deep Learning

https://github.com/aatizghimire/pluto-cluster

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Cost-effective Deep Learning Infrastructure with NVIDIA GPU

https://github.com/abadi13/qpsk_sdr_dnn_detector

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Implementation of DNN Based Data Detector for QPSK Systems

https://github.com/abdoelsayed2016/Automated-Question-Answer-Medical-Model-based-on-Deep-Learning-Technology

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Automated Question Answer medical model based on Deep Learning Technology

https://github.com/abdoelsayed2016/TNCR_Dataset

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TNCR: Table Net Detection and Classification Dataset

https://github.com/abdoelsayed2016/table-detection-structure-recognition

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Deep learning for table detection and structure recognition: A survey

https://github.com/abdulkarimgizzini/dl-based-channel-estimation-in-doubly-dispersive-environments-

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A Survey on Deep Learning based Channel Estimation in Doubly Dispersive Environments

https://github.com/abdulmajid-murad/deep_probabilistic_forecast

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Probabilistic Deep Learning to Quantify Uncertainty in Air Quality Forecasting

https://github.com/abdulrjacob/neuro-al

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Object-Centric Neuro-Argumentative Learning

https://github.com/abenhamadou/Self-Supervised-Endoscopic-Image-Key-Points-Matching

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Self-Supervised Endoscopic Image Key-Points Matching

https://github.com/abhi460729/Action-Duration-with-Contextual-Bandits-for-Deep-Reinforcement-Learning-in-Dynamic-Environments

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Adaptive Action Duration with Contextual Bandits for Deep Reinforcement Learning in Dynamic Environments

https://github.com/abhi460729/GATN

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Generalized Adaptive Transfer Network: Enhancing Transfer Learning in Reinforcement Learning Across Domains

https://github.com/abhijithneilabraham/tableqa

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TableQuery: Querying tabular data with natural language

https://github.com/abhineet123/river_ice_segmentation

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River Ice Segmentation with Deep Learning

https://github.com/abhishekbamotra/transdocs

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TransDocs: Optical Character Recognition with word to word translation

https://github.com/abhishekdbihani/MudrockNet

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MudrockNet: Semantic Segmentation of Mudrock SEM Images through Deep Learning

https://github.com/abiy-tasissa/VAE-LAND

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Deep Diffusion Processes for Active Learning of Hyperspectral Images

https://github.com/absDL/absDL.github.io

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Single-exposure absorption imaging of ultracold atoms using deep learning

https://github.com/acamero/dlopt

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DLOPT: Deep Learning Optimization Library

https://github.com/acse-dc1823/spotID

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Deep Learning for Leopard Individual Identification: An Adaptive Angular Margin Approach

https://github.com/activatedgeek/tight-pac-bayes

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PAC-Bayes Compression Bounds So Tight That They Can Explain Generalization

https://github.com/activeloopai/deeplake

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Deep Lake: a Lakehouse for Deep Learning

https://github.com/adam-katona/dota2_death_prediction

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Time to Die: Death Prediction in Dota 2 using Deep Learning

https://github.com/adarsh-kr/paper_jigsaw-

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Doing More by Doing Less: How Structured Partial Backpropagation Improves Deep Learning Clusters

https://github.com/adgaudio/O-MedAL

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O-MedAL: Online Active Deep Learning for Medical Image Analysis

https://github.com/adolfo-almeida/scaled_cer

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The complementarity of a diverse range of deep learning features extracted from video content for video recommendation

https://github.com/adugnag/CV-deSpeckNet

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Despeckling Polarimetric SAR Data Using a Multi-Stream Complex-Valued Fully Convolutional Network

https://github.com/aecelaya/MIST

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PocketNet: A Smaller Neural Network for Medical Image Analysis

https://github.com/afriesen/ftprop

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Deep Learning as a Mixed Convex-Combinatorial Optimization Problem

https://github.com/ag14774/META2

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META$^\mathbf{2}$: Memory-efficient taxonomic classification and abundance estimation for metagenomics with deep learning

https://github.com/agi-lab/DRN

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Distributional Refinement Network: Distributional Forecasting via Deep Learning

https://github.com/agri-hub/deep-learning-for-cloud-gap-filling-on-normalized-difference-vegetation-index

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Cloud gap-filling with deep learning for improved grassland monitoring

https://github.com/agrundner24/iconml_clc

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Deep Learning Based Cloud Cover Parameterization for ICON

https://github.com/agustdd/floss

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Enhancing Representation Learning for Periodic Time Series with Floss: A Frequency Domain Regularization Approach

https://github.com/ahmedfakhry47/gener

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GENER: A Parallel Layer Deep Learning Network To Detect Gene-Gene Interactions From Gene Expression Data

https://github.com/ahujaofficial/Fourier-on-Sequences

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Metamorphic Testing of a Deep Learning based Forecaster

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