Papers with Code 아카이브
Disease Prediction
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
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/fengredrum/cnn-xla
https://github.com/gatheluck/Stronghold
https://github.com/gcr/torch-residual-networks
https://github.com/gittar/tensorflow_transfer
https://github.com/glouppe/info8010-deep-learning
https://github.com/godwinrayanc/YOLOv1-Pytorch
https://github.com/google/flax/tree/master/examples/imagenet
https://github.com/gouthamvgk/coreml_conversion_hub
https://github.com/gpleiss/limits_of_large_width
https://github.com/greatsharma/DeepLearning-Papers-Implementation
https://github.com/gundeep15/SCD_AI_Project
https://github.com/haonanguo/remote-sensing-chatgpt
https://github.com/harry24k/aepw-pytorch
https://github.com/heidongxianhau/deeplab2
https://github.com/hershd23/ObjectLocalizer
https://github.com/hongkunsun/paratranscnn
https://github.com/hongyi-zhang/Fixup
https://github.com/horse007666/ResNet
https://github.com/hott-j/face-mask-detection
https://github.com/hsd1503/resnet1d
https://github.com/hsinyilin19/resnetvae
https://github.com/hustic/TinyImageSet
https://github.com/hustvl/sparseinst
https://github.com/hwzwx1190522/inceptionv3
https://github.com/hx19940102/Image-Segmentation-based-on-FCN
https://github.com/hycis/TensorGraph
https://github.com/hysts/pytorch_resnet
https://github.com/hysts/pytorch_resnet_preact
https://github.com/hz2538/iot_JennyGo
https://github.com/iArunava/ResNet
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.