Papers with Code 아카이브
LIDAR Semantic Segmentation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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- 보존된 평가 기록
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/saunack/MobileNetv2-SSD
https://github.com/saurabhkulkarni77/BERT_multilabel
https://github.com/saurabhnlp/bert
https://github.com/sauram/Machine-Translation-using-Attention-Model
https://github.com/scrambleegg7/ssd_prescription
https://github.com/scrayish/ML_NLP
https://github.com/semal/bert
https://github.com/semicontinuity/nlp
https://github.com/seominseok0429/inception-I3D-NON-LOCAL
https://github.com/serengil/deepface
https://github.com/seunghwan1228/Transfomer-MachineTranslation
https://github.com/sgrvinod/a-pytorch-tutorial-to-object-detection
https://github.com/sh951011/Attention-Implementation
https://github.com/shahrukhx01/ocr-test
https://github.com/shaikhzhas/bert
https://github.com/shao-chi/ImageCaption
https://github.com/shenyunhang/caffe-fwsl
https://github.com/sherinaseri/bert
https://github.com/shouvikcirca/Transformer
https://github.com/shouvikcirca/Transformer_MiniProject
https://github.com/shreyash8/English_to_Hindi_NMT
https://github.com/shreyashankar/gpt3-sandbox
https://github.com/shuaishuaij/Machine-Translation
https://github.com/shunk031/chainer-skin-lesion-detector
https://github.com/shyam-skk/Parallel_CNN_Transfromer
https://github.com/simonjisu/annotated-transformer-kr
https://github.com/sjyttkl/Transformer_learning
https://github.com/socc-io/piqaboo
https://github.com/sonalisrijan/Deep-Learning-based-Defect-Prediction-Model-for-Source-Code
https://github.com/sonrisa07/transformer
https://github.com/sooftware/Attention-Implementation
https://github.com/sooftware/attentions
https://github.com/sooftware/nlp-attentions
https://github.com/soumik12345/transformer.pytorch
https://github.com/souvikshanku/translit-former
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.