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태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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- 평가표
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- 보존된 평가 기록
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<span style="color:grey; opacity: 0.6">( Image credit: No Metrics Are Perfect )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/alililia/ms_contrib/tree/main/ascend_transformer
https://github.com/alililia/ms_contrib/tree/main/gpu_transformer
https://github.com/alimpiev/embeddings_persistent_homology
https://github.com/amitz25/PCCoder
Effective Approaches to Attention-based Neural Machine Translation
https://github.com/anhinga/JuliaCon2021-poster
https://github.com/anhtu293/transformer_from_scratch
https://github.com/anirudharc/transformer
https://github.com/anishnarkar/experiments_deeplearning_models
https://github.com/ankurbhatia24/MULTIMODAL-EMOTION-RECOGNITION
https://github.com/antoinecollas/transformer_neural_machine_translation
https://github.com/anton-bushuiev/ppiformer
https://github.com/anuscode/nrms
https://github.com/appcoreopc/berty
https://github.com/arkel23/PyTorch-Pretrained-ViT
https://github.com/asfathermou/human-computer-interaction
https://github.com/asultan123/DL_LLC_Prefetching
https://github.com/augustgw/early-exit-transformer
https://github.com/autobotasia/vibert
https://github.com/awslabs/sockeye
https://github.com/ays-dev/keras-transformer
https://github.com/b-etienne/Seq2seq-PyTorch
Effective Approaches to Attention-based Neural Machine Translation
https://github.com/bangoc123/transformer
https://github.com/baosongyang/WRD
https://github.com/baotramduong/Sentiment-Analysis-with-Deep-Learning-using-BERT
https://github.com/baotramduong/Twitter-Sentiment-Analysis-with-Deep-Learning-using-BERT
https://github.com/bartzi/chainer-transformer
https://github.com/basile-bron/Artificial-Intelligence-Lexical
https://github.com/bcmi220/esc4nmt
https://github.com/bdusell/stack-attention
https://github.com/benjamintaiwo/Attention
https://github.com/bhavitvyamalik/bert
https://github.com/binhetech/bert-application
https://github.com/biyoml/End-to-End-Mandarin-ASR
Effective Approaches to Attention-based Neural Machine Translation
https://github.com/biyoml/Pytorch-End-to-End-ASR-on-TIMIT
Effective Approaches to Attention-based Neural Machine Translation
https://github.com/bkoch4142/attention-is-all-you-need-paper
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.