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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/XJhaoren/Academic-Group

Image-to-Image Translation with Conditional Adversarial Networks

https://github.com/XUJitao/WordEmbedding

Attention Is All You Need

https://github.com/Xaniar87/SAN_SQuAD2

Multi-task Learning with Sample Re-weighting for Machine Reading Comprehension

https://github.com/XapaJIaMnu/transformative

Attention Is All You Need

https://github.com/XavierJiezou/cloud-removal-deploy

Image-to-Image Translation with Conditional Adversarial Networks

https://github.com/XiangGao1102/FCDiffusion_code

Frequency-Controlled Diffusion Model for Versatile Text-Guided Image-to-Image Translation

https://github.com/XiaowanLi2018/TimeSeriesPrediction_BasedOnCNN

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

https://github.com/XingxingZhang/dress

Sentence Simplification with Deep Reinforcement Learning

https://github.com/Xinsen-Zhang/transformer

Neural Machine Translation of Rare Words with Subword Units

https://github.com/XiudingCai/PyTorch-EnCo

Contrastive Learning for Unpaired Image-to-Image Translation

https://github.com/XuhanLiu/Transformer

Attention Is All You Need

https://github.com/YUEXIUG/M2TS

A parallel corpus of Python functions and documentation strings for automated code documentation and code generation

https://github.com/YYGXjpg/BERT_WL

Attention Is All You Need

https://github.com/Yahya1547/FaceMask

YOLACT: Real-time Instance Segmentation

https://github.com/Yash-10/modified_gravity_emulation

Toward Multimodal Image-to-Image Translation

https://github.com/YeshengSu/Yolact

YOLACT: Real-time Instance Segmentation

https://github.com/YicongHong/Entity-Graph-VLN

Vision-and-Language Navigation: Interpreting visually-grounded navigation instructions in real environments

https://github.com/YicongHong/Recurrent-VLN-BERT

Vision-and-Language Navigation: Interpreting visually-grounded navigation instructions in real environments

https://github.com/YifanZhou95/Translation-based-Recommendation

Translation-based Recommendation

https://github.com/Yipeng91/text_classifier_pub

Attention Is All You Need

https://github.com/YiteWang/CS547-final-project

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

https://github.com/YizhuLiu/sumlen

Convolutional Sequence to Sequence Learning

https://github.com/Yodai1996/CV

Image-to-Image Translation with Conditional Adversarial Networks

https://github.com/YonoHub/Model-Implementation-and-Training

Unsupervised Translation of Programming Languages

https://github.com/YouYueHuang/CycleGAN_Unsupervised_Domain_Adaptation

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

https://github.com/Yougunhee/cycleGAN

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

https://github.com/YoungWoong-Cho/Decay

Image-to-Image Translation with Conditional Adversarial Networks

https://github.com/YovaKem/generalized-procrustes-MUSE

Word Translation Without Parallel Data

https://github.com/YuanEric88/bert-nlu

Attention Is All You Need

https://github.com/YuanTingHsieh/TF_TCN

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

https://github.com/YuanxunLu/LiveSpeechPortraits

Live Speech Portraits: Real-Time Photorealistic Talking-Head Animation

https://github.com/YuchaoZheng/Google_camp

Face Beautification: Beyond Makeup Transfer

https://github.com/YugeTen/QMVAE-mmdgm

Multimodal Generative Models for Scalable Weakly-Supervised Learning

https://github.com/YuhangMing/visual-attention-image-caption

Show, Attend and Tell: Neural Image Caption Generation with Visual Attention

https://github.com/YvesWang/Machine_Translation_NLP

Neural Machine Translation by Jointly Learning to Align and Translate

https://github.com/ZC119/Handwritten-CycleGAN

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

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