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태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

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평가표

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5

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/lidongliang666/cv_deep_learning

Attention Is All You Need

https://github.com/liernisestorain/zero-shot-dual-MT

Zero-Shot Dual Machine Translation

https://github.com/lif31up/attention-is-all-you-need

Attention Is All You Need

https://github.com/lif31up/extended-BERT-for-low-rank-adaption

Attention Is All You Need

https://github.com/lifesailor/data-driven-predictive-maintenance

Deep Learning and Its Applications to Machine Health Monitoring: A Survey

https://github.com/liguigui/speech-to-text-wavenet

Neural Machine Translation in Linear Time

https://github.com/linxi159/GAN-training-tricks

Image-to-Image Translation with Conditional Adversarial Networks

https://github.com/linxi159/TCN

An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling

https://github.com/linxi159/Tips-and-tricks-to-train-GANs

Image-to-Image Translation with Conditional Adversarial Networks

https://github.com/liqichen6688/duo-attention

Attention Is All You Need

https://github.com/liqunchen0606/triangle-gan

Triangle Generative Adversarial Networks

https://github.com/littell/NamedTransformer

Attention Is All You Need

https://github.com/littleflow3r/Japanese_English_Machine_Translation_Seq2Seq

Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation

https://github.com/littleflow3r/SeqtoSeq_learning_for_machine_translation

Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation

https://github.com/littleflow3r/Sequence_to_sequence_learning_for_machine_translation

Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation

https://github.com/littleflow3r/Sequence_to_sequence_learning_with_NN

Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation

https://github.com/liuliuliu11/pixel2style2pixel-liu

Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation

https://github.com/liuruiyang98/Jittor-MLP

ResMLP: Feedforward networks for image classification with data-efficient training

https://github.com/liuzeyuMr/CycleGAN-TensorFlow-master

Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

https://github.com/liyaSileshi/amharic-sentiment-analysis

AI4D -- African Language Program

https://github.com/liyongze/lstm_speaker_verification

Attention-Based Models for Text-Dependent Speaker Verification

https://github.com/liyu10000/pneumoconiosis

Learning to diagnose from scratch by exploiting dependencies among labels

https://github.com/lizzylizzylizzy/evolvingattention

Evolving Attention with Residual Convolutions

https://github.com/lkfo415579/MT-Readling-List

Neural Machine Translation by Jointly Learning to Align and Translate

https://github.com/lkfo415579/amun

Is Neural Machine Translation Ready for Deployment? A Case Study on 30 Translation Directions

https://github.com/lkfo415579/joint

Joint Source-Target Self Attention with Locality Constraints

https://github.com/lknlp/lknlp.github.io

The FLoRes Evaluation Datasets for Low-Resource Machine Translation: Nepali-English and Sinhala-English

https://github.com/lkny123/agn

Conditional Antibody Design as 3D Equivariant Graph Translation

https://github.com/lllyasviel/controlnet

MaskSketch: Unpaired Structure-guided Masked Image Generation

https://github.com/llppff/ptb-lstmorqrnn-pytorch

Regularizing and Optimizing LSTM Language Models

https://github.com/llx666/git_demo

Attention Is All You Need

https://github.com/lmarent/TranslateAlignRetrieve

Automatic Spanish Translation of the SQuAD Dataset for Multilingual Question Answering

https://github.com/lmnt-com/haste

Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation

https://github.com/lmtoan/nlp-cs224n

Achieving Open Vocabulary Neural Machine Translation with Hybrid Word-Character Models

https://github.com/logiklesuraj/SiamFC

SiamRPN++: Evolution of Siamese Visual Tracking with Very Deep Networks

https://github.com/logiklesuraj/siamfcex

SiamRPN++: Evolution of Siamese Visual Tracking with Very Deep Networks

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.