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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/yuhongtian17/vic

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Vision Calorimeter: Migrating Visual Object Detector to High-energy Particle Images

https://github.com/yumenomae/passat_5p625

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Physics-Assisted and Topology-Informed Deep Learning for Weather Prediction

https://github.com/yun-liu/MiniSeg

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MiniSeg: An Extremely Minimum Network for Efficient COVID-19 Segmentation

https://github.com/yusufbrima/xdnnbioimaging

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Visual Interpretable and Explainable Deep Learning Models for Brain Tumor MRI and COVID-19 Chest X-ray Images

https://github.com/yuwchen/CITISEN

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CITISEN: A Deep Learning-Based Speech Signal-Processing Mobile Application

https://github.com/yuweisunn/homogeneous-learning

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Homogeneous Learning: Self-Attention Decentralized Deep Learning

https://github.com/yxzhang15/pcr

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Deep Learning-Based Point Cloud Registration: A Comprehensive Survey and Taxonomy

https://github.com/yzcj105/rbm2mps

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Equivalence of restricted Boltzmann machines and tensor network states

https://github.com/z5041294/optimization-and-pruning-for-bnn

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On the optimization and pruning for Bayesian deep learning

https://github.com/zabir-nabil/bangla-tts

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Byakto Speech: Real-time long speech synthesis with convolutional neural network: Transfer learning from English to Bangla

https://github.com/zadid6pretam/TabSeq

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TabSeq: A Framework for Deep Learning on Tabular Data via Sequential Ordering

https://github.com/zaixizhang/awesome-sbdd

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Geometric Deep Learning for Structure-Based Drug Design: A Survey

https://github.com/zamaex96/Spoof-Detect-Using-ViT

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Face Spoofing Detection using Deep Learning

https://github.com/zamanzadeh/ts-anomaly-benchmark

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Deep Learning for Time Series Anomaly Detection: A Survey

https://github.com/zczcwh/DL-HPE

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Deep Learning-Based Human Pose Estimation: A Survey

https://github.com/zefang-liu/yelp-review

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Yelp Review Rating Prediction: Machine Learning and Deep Learning Models

https://github.com/zeinebzh/tumornetsolvers

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Efficient Deep Learning-based Forward Solvers for Brain Tumor Growth Models

https://github.com/zelabid/kdl

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Knowledge-based Deep Learning for Modeling Chaotic Systems

https://github.com/zhangxiaoyu11/XOmiVAE

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XOmiVAE: an interpretable deep learning model for cancer classification using high-dimensional omics data

https://github.com/zhangxiaoyu11/omitrans

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OmiTrans: generative adversarial networks based omics-to-omics translation framework

https://github.com/zhaoren91/awesome-heart-sound-analysis

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A Comprehensive Survey on Heart Sound Analysis in the Deep Learning Era

https://github.com/zhaoweicai/hwgq

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Deep Learning with Low Precision by Half-wave Gaussian Quantization

https://github.com/zhaoyang-0204/gnp

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Penalizing Gradient Norm for Efficiently Improving Generalization in Deep Learning

https://github.com/zhaoyu-li/dl4tp

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A Survey on Deep Learning for Theorem Proving

https://github.com/zhengdharia/Deep_CV_segmentation

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Unsupervised Deep Learning Meets Chan-Vese Model

https://github.com/zhenhua-wang/MissingData_DL

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Are deep learning models superior for missing data imputation in large surveys? Evidence from an empirical comparison

https://github.com/zhenzi-weng/deepsc-st_demonstration

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Deep Learning Enabled Semantic Communications with Speech Recognition and Synthesis

https://github.com/zhijing-jin/Text_Style_Transfer_Survey

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Deep Learning for Text Style Transfer: A Survey

https://github.com/zhoudafa08/RRCNN_plus

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IRCNN$^{+}$: An Enhanced Iterative Residual Convolutional Neural Network for Non-stationary Signal Decomposition

https://github.com/zhoudafa08/rrcnn

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RRCNN: A novel signal decomposition approach based on recurrent residue convolutional neural network

https://github.com/zhugchzo/dl_occurrence_tipping

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Deep learning for predicting the occurrence of tipping points

https://github.com/zihan-liu-00/dl_for_peptide

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Efficient Prediction of Peptide Self-assembly through Sequential and Graphical Encoding

https://github.com/ziruniu0/flrce

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FLrce: Resource-Efficient Federated Learning with Early-Stopping Strategy

https://github.com/zivmaaya/NeuralCMS

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NeuralCMS: A deep learning approach to study Jupiter's interior

https://github.com/zj-zhang/BioNAS-pub

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Neural Architecture Search for Joint Optimization of Predictive Power and Biological Knowledge

https://github.com/zjiayao/le_sde

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Imitating Deep Learning Dynamics via Locally Elastic Stochastic Differential Equations

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