https://github.com/2023-MindSpore-4/Code8/tree/main/AdderNGD
AdderNet: Do We Really Need Multiplications in Deep Learning?
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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/2024-MindSpore-1/Code2/tree/main/model-1/falcon
FALCON: Honest-Majority Maliciously Secure Framework for Private Deep Learning
https://github.com/2024-MindSpore-1/Code3/tree/main/DeepLSTM
Integer Quantization for Deep Learning Inference: Principles and Empirical Evaluation
https://github.com/2024-MindSpore-1/Code5/tree/main/AdderNGD
AdderNet: Do We Really Need Multiplications in Deep Learning?
https://github.com/2024-MindSpore-1/Code6/tree/main/AdderNGD
AdderNet: Do We Really Need Multiplications in Deep Learning?
https://github.com/2K2A/2K2A.github.io
Novel Deep Learning Model for Traffic Sign Detection Using Capsule Networks
https://github.com/2xic/notebooks
Understanding deep learning requires rethinking generalization
https://github.com/3dimaging/DeepLearningCamelyon
https://github.com/53X/CogniNET
Deep Learning Human Mind for Automated Visual Classification
https://github.com/9552nZ/SmartSheetMusic
Music transcription modelling and composition using deep learning
https://github.com/AFAgarap/cnn-svm
https://github.com/AFAgarap/malware-classification
https://github.com/AHoke/Multilevel_Wavelet_Decomposition_Network_Pytorch
Multilevel Wavelet Decomposition Network for Interpretable Time Series Analysis
https://github.com/AI-HPC-Research-Team/GW
Complete parameter inference for GW150914 using deep learning
https://github.com/AI-secure/Transferability-Reduced-Smooth-Ensemble
Towards Deep Learning Models Resistant to Adversarial Attacks
https://github.com/AIMPer73/Geometric-Deep-Learning-Grids-Groups-Graphs-Geodesics-and-Gauges
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
https://github.com/ALFA-group/malware_challenge
Adversarial Deep Learning for Robust Detection of Binary Encoded Malware
https://github.com/AMLab-Amsterdam/SEVDL_MGP
Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteriors
https://github.com/AaronX121/Deep-Clustering-Network
Towards K-means-friendly Spaces: Simultaneous Deep Learning and Clustering
https://github.com/Abdoulaye-Koroko/natural-gradients
https://github.com/Abdulk084/Chemception
https://github.com/Abonia1/Seq2Seq-Chatbot
https://github.com/Actis92/lit-saint
SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training
https://github.com/Actis92/saint-lightning
SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training
https://github.com/AdityaGolatkar/Classification-of-Breast-Cancer-Histology-using-Deep-Learning
Classification of Breast Cancer Histology using Deep Learning
https://github.com/Adityarajora/qwerty
Generalised Dice overlap as a deep learning loss function for highly unbalanced segmentations
https://github.com/AdrienC21/CCSD
https://github.com/AemikaChow/DATASOURCE
Imbalanced Deep Learning by Minority Class Incremental Rectification
https://github.com/AlexEMG/DeepLabCut
Deep learning tools for the measurement of animal behavior in neuroscience
https://github.com/AliAbyaneh/Extracting-Image-from-EEG-signals
Deep Learning Human Mind for Automated Visual Classification
https://github.com/Alireza-Akhavan/face-quality-metrics
FaceQnet: Quality Assessment for Face Recognition based on Deep Learning
https://github.com/Allen--Wu/Symmetry-Detection-of-Occluded-Point-Cloud-Using-Deep-Learning
Symmetry Detection of Occluded Point Cloud Using Deep Learning
https://github.com/Allen--Wu/dense_symmetry
Symmetry Detection of Occluded Point Cloud Using Deep Learning
https://github.com/AmrElsersy/PointPainting
https://github.com/Andy1314Chen/DLRM-Paddle
Deep Learning Recommendation Model for Personalization and Recommendation Systems
https://github.com/AngusG/cleverhans-attacking-bnns
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.