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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/maysambehmanesh/tide

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TIDE: Time Derivative Diffusion for Deep Learning on Graphs

https://github.com/maziarraissi/Applied-Deep-Learning

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Open Problems in Applied Deep Learning

https://github.com/maziarraissi/DeepHPMs

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

https://github.com/maziarraissi/DeepVIV

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Deep Learning of Vortex Induced Vibrations

https://github.com/mb1069/sim-axial-resolution

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Improving axial resolution in SIM using deep learning

https://github.com/mbaityje/plankifier

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Deep Learning Classification of Lake Zooplankton

https://github.com/mchatton/w2s-tensorflow

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Microscopy Image Restoration using Deep Learning on W2S

https://github.com/mctorch/mctorch

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McTorch, a manifold optimization library for deep learning

https://github.com/md-k-sarker/KG-Cmpl-dataset

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Reasoning over RDF Knowledge Bases using Deep Learning

https://github.com/mdsamad001/g-ceals---deep-clustering-for-tabular-data

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Deep Clustering of Tabular Data by Weighted Gaussian Distribution Learning

https://github.com/mdsatria/multiattentionmil

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Multi-Scale Attention-based Multiple Instance Learning for Classification of Multi-Gigapixel Histology Images

https://github.com/meakbiyik/ask-who-not-what

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Ask "Who", Not "What": Bitcoin Volatility Forecasting with Twitter Data

https://github.com/median-research-group/libmtl

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Gradient-Based Multi-Objective Deep Learning: Algorithms, Theories, Applications, and Beyond

https://github.com/medmaxlab/eegpartition

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The role of data partitioning on the performance of EEG-based deep learning models in supervised cross-subject analysis: a preliminary study

https://github.com/medmaxlab/eegprepro

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The more, the better? Evaluating the role of EEG preprocessing for deep learning applications

https://github.com/meetyangyang/A-Novel-Correlation-optimized-Deep-Learning-Method-for-Wind-Speed-Forecast

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A Novel Correlation-optimized Deep Learning Method for Wind Speed Forecast

https://github.com/megum1/beagle

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BEAGLE: Forensics of Deep Learning Backdoor Attack for Better Defense

https://github.com/mehdijj/ppd

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PPD: Permutation Phase Defense Against Adversarial Examples in Deep Learning

https://github.com/mehilshah/bug_reproducibility_dl_bugs

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Towards Enhancing the Reproducibility of Deep Learning Bugs: An Empirical Study

https://github.com/meinwerk/WordPrediction

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An Embedded Deep Learning based Word Prediction

https://github.com/mel-2445/Predicting-First-Impressions

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Predicting First Impressions with Deep Learning

https://github.com/melhousni/DSMNet

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Aerial Height Prediction and Refinement Neural Networks with Semantic and Geometric Guidance

https://github.com/meli-0xff/depthmap_sr

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Supersampling of Data from Structured-light Scanner with Deep Learning

https://github.com/mengyuanchen21/awesome-evidential-deep-learning

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A Comprehensive Survey on Evidential Deep Learning and Its Applications

https://github.com/mengyuanchen21/re-edl

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Revisiting Essential and Nonessential Settings of Evidential Deep Learning

https://github.com/menouarazib/eventdetector

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A Comprehensive Python Library for Deep Learning-Based Event Detection in Multivariate Time Series Data and Information Retrieval in NLP

https://github.com/menouarazib/informationretrievalinnlp

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A Comprehensive Python Library for Deep Learning-Based Event Detection in Multivariate Time Series Data and Information Retrieval in NLP

https://github.com/merajhashemi/constraints-vs-penalties

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Position: Adopt Constraints Over Penalties in Deep Learning

https://github.com/merantix/picasso

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Picasso: A Modular Framework for Visualizing the Learning Process of Neural Network Image Classifiers

https://github.com/metehancekic/wireless-fingerprinting

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Wireless Fingerprinting via Deep Learning: The Impact of Confounding Factors

https://github.com/meteoswiss/c4dl-lightningdl

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Seamless lightning nowcasting with recurrent-convolutional deep learning

https://github.com/meteoswiss/peakweather

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PeakWeather: MeteoSwiss Weather Station Measurements for Spatiotemporal Deep Learning

https://github.com/metrics-lab/surface-vision-transformers

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The Multiscale Surface Vision Transformer

https://github.com/meuseabe/AugmentedMUSIC

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DeepMUSIC: Multiple Signal Classification via Deep Learning

https://github.com/mhajij/Algebraically_Informed_Deep_Nets

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Algebraically-Informed Deep Networks (AIDN): A Deep Learning Approach to Represent Algebraic Structures

https://github.com/mharmanani/trusworthy

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TRUSWorthy: Toward Clinically Applicable Deep Learning for Confident Detection of Prostate Cancer in Micro-Ultrasound

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