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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/HuskyNian/HR-Extreme
공식 코드HR-Extreme: A High-Resolution Dataset for Extreme Weather Forecasting
https://github.com/IBM/IPC-graph-data
공식 코드Online Planner Selection with Graph Neural Networks and Adaptive Scheduling
https://github.com/IBM/pde-deep-learning
공식 코드Using Deep Learning to Extend the Range of Air-Pollution Monitoring and Forecasting
https://github.com/IICNELAB/qpu_code
공식 코드Quaternion Product Units for Deep Learning on 3D Rotation Groups
https://github.com/ISG-Siegen/recsys-carbon-footprint
공식 코드From Clicks to Carbon: The Environmental Toll of Recommender Systems
https://github.com/ISU-PAAL/DeepDFA
공식 코드Dataflow Analysis-Inspired Deep Learning for Efficient Vulnerability Detection
https://github.com/ISosnovik/nn4topopt
공식 코드https://github.com/ISosnovik/top
공식 코드https://github.com/Ildaron/Pest_OpenCV-image-preprocessing-python
공식 코드https://github.com/InfoLab-SKKU/AdvEdge-Attack
공식 코드https://github.com/InfoLab-SKKU/black-box-attacks
공식 코드Impact of Architectural Modifications on Deep Learning Adversarial Robustness
https://github.com/InnerPeas/ML-for-Transaction-Costs
공식 코드https://github.com/Ipsumio/plantvillage_bias
공식 코드https://github.com/IraKorshunova/folk-rnn
공식 코드Music transcription modelling and composition using deep learning
https://github.com/IsmailAlaouiAbdellaoui/weather-forecasting-explanable-recurrent-convolutional-NN
공식 코드Deep multi-stations weather forecasting: explainable recurrent convolutional neural networks
https://github.com/JaniceZhao/Chinese-Forum-Corpus
공식 코드https://github.com/JaniceZhao/Douban-Dushu-Dataset
공식 코드https://github.com/Jeffrey-Ede/DLSS-STEM
공식 코드Deep Learning Supersampled Scanning Transmission Electron Microscopy
https://github.com/Jeffrey-Ede/one-shot
공식 코드Exit Wavefunction Reconstruction from Single Transmisson Electron Micrographs with Deep Learning
https://github.com/Jeffrey-Ede/partial-STEM
공식 코드Partial Scanning Transmission Electron Microscopy with Deep Learning
https://github.com/JeroenZegers/Nabu-MSSS
공식 코드Multi-scenario deep learning for multi-speaker source separation
https://github.com/JiayuanDing100/Position-Bias
공식 코드An Experimental Study of The Effects of Position Bias on Emotion CauseExtraction
https://github.com/Jimut123/CAPTCHA
공식 코드Deceiving computers in Reverse Turing Test through Deep Learning
https://github.com/JinchengBai/sparse-variational-bnn
공식 코드Efficient Variational Inference for Sparse Deep Learning with Theoretical Guarantee
https://github.com/JingshuaiLiu/ASGAN
공식 코드Fine-grained MRI Reconstruction using Attentive Selection Generative Adversarial Networks
https://github.com/Jinxhy/AppAIsecurity
공식 코드Robustness of on-device Models: Adversarial Attack to Deep Learning Models on Android Apps
https://github.com/JoshuaEbenezer/deep_segment
공식 코드https://github.com/Joxis/pytorch-hebbian
공식 코드PyTorch-Hebbian: facilitating local learning in a deep learning framework
https://github.com/Jpvmello/type-identification-mri-sequences
공식 코드Deep Learning-based Type Identification of Volumetric MRI Sequences
https://github.com/JulianoLagana/MT3
공식 코드Next Generation Multitarget Trackers: Random Finite Set Methods vs Transformer-based Deep Learning
https://github.com/K-Mike/Automatic-salt-deposits-segmentation
공식 코드Automatic salt deposits segmentation: A deep learning approach
https://github.com/KRR-Oxford/DeepOnto
공식 코드DeepOnto: A Python Package for Ontology Engineering with Deep Learning
https://github.com/KaijingOfficial/sram_vtg
공식 코드Beyond Uncertainty: Evidential Deep Learning for Robust Video Temporal Grounding
https://github.com/KarenUllrich/Tutorial_BayesianCompressionForDL
공식 코드https://github.com/KayTuval/PersonRecognition_using_Facial_MicroExpressions
공식 코드Person Recognition using Facial Micro-Expressions with Deep Learning
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