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Breast Tumour Classification
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/deepquestai/fire-smoke-dataset
https://github.com/demul/ResidualNet
https://github.com/deontaepharr/Residual-Attention-Network
https://github.com/dmizr/phuber
https://github.com/dnddnjs/pytorch-cifar10
https://github.com/dssbxx/k_labels_resnet50
https://github.com/duchaba/Norwegian_Blue_Parrot_k2fa_AI
https://github.com/earthLD/Algorithm
https://github.com/eb00/pcam_analysis
https://github.com/enzomuschik/distilfnd
https://github.com/eric-erki/IdenProf
https://github.com/ericjang/odin
https://github.com/ewinata/CIFAR-10
https://github.com/fL0n9/SKFAC-MindSpore
https://github.com/fabiofumarola/ultrayolo
https://github.com/fabxy/accessibilityCV
https://github.com/facebook/fb.resnet.torch
https://github.com/facebookarchive/fb.resnet.torch
https://github.com/facebookresearch/DomainBed
https://github.com/facebookresearch/hiera
https://github.com/facebookresearch/pycls
https://github.com/facebookresearch/stochastic_gradient_push
https://github.com/facundoq/transformational_measures_experiments
https://github.com/fastai/fastai
https://github.com/fchollet/deep-learning-models
https://github.com/felixgwu/img_classification_pk_pytorch
https://github.com/fengjiqiang/pretrainedmodel_pytorch
https://github.com/fengredrum/cnn-xla
https://github.com/flyyufelix/DenseNet-Keras
https://github.com/fxfviolet/Densenet_for_quiz_classification
https://github.com/gaetandi/cheXpert
https://github.com/gargarchit/60DaysOfUdacity
https://github.com/gatheluck/Stronghold
https://github.com/gcr/torch-residual-networks
https://github.com/glouppe/info8010-deep-learning
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.