https://github.com/NicholasKX/ShowAttendTell
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
Papers with Code 아카이브
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태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/Nick-Zhao-Engr/Machine-Translation
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
https://github.com/NightmareVoid/LSTM_for_EEG
https://github.com/Nimesh-Patel/BERT
https://github.com/Nirav-Agarwal/GANs
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/Nirvanabc/seq2seq-rnn
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
https://github.com/NisansaDdS/Some-Languages-are-More-Equal-than-Others
Systematic Inequalities in Language Technology Performance across the World's Languages
https://github.com/Nisnab/Pix2Pix
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/NitishaS-812k/Monet-CycleGAN
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/NiucunCode/Deep-Learning-proj2
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/NonameAuPlatal/Dual_Learning
https://github.com/Nstats/bert_MRC
https://github.com/Nstats/bert_senti_analysis_ch
https://github.com/Nstats/my_bert
https://github.com/OFRIN/Tensorflow_Pixel2Pixel
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/OML-Team/open-metric-learning
https://github.com/OPAYA/Transformer
https://github.com/OctopusNO1/Artificial-Intelligence-Guide
https://github.com/Omkar-Ranadive/Domain-Adaptation-CycleGAN
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/OpenNMT/OpenNMT-py
https://github.com/OpenNMT/OpenNMT-tf
Guided Alignment Training for Topic-Aware Neural Machine Translation
https://github.com/Osobarako/alduswarrensewell
https://github.com/Our4514/CAGFUZZ
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/OvrK12/slt
Sign Language Transformers: Joint End-to-end Sign Language Recognition and Translation
https://github.com/PDEUXA/AIF_CYCLEGAN
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/PacktPublishing/Hands-On-Image-Generation-with-TensorFlow-2.0/tree/master/Chapter04
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/PaddlePaddle/FleetX/tree/develop/examples/pipeline
GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism
https://github.com/PaddlePaddle/Paddle3D
SMOKE: Single-Stage Monocular 3D Object Detection via Keypoint Estimation
https://github.com/PaddlePaddle/PaddleNLP/tree/develop/examples/machine_translation/transformer
https://github.com/PaddlePaddle/PaddleNLP/tree/develop/model_zoo/ernie-m
https://github.com/PaddlePaddle/PaddleSpeech
https://github.com/PaddlePaddle/PaddleSpeech/tree/develop/examples/vctk/ernie_sat
A$^3$T: Alignment-Aware Acoustic and Text Pretraining for Speech Synthesis and Editing
https://github.com/PantoMatrix/BEAT
https://github.com/Patchwork53/EEEDAY-Dathathon2023-1st-Runners-Up
Bangla Grammatical Error Detection Using T5 Transformer Model
https://github.com/PatxiofromAlphensign/subword-nmt-mods
https://github.com/PaulSudarshan/Language-Classification-Using-Naive-Bayes-Algorithm
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.