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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/Pavan-pk/ArtGan_Realism

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

https://github.com/Pek20180909/dp-transformer

Tensor2Tensor for Neural Machine Translation

https://github.com/Pendulibrium/ai-visual-storytelling-seq2seq

Effective Approaches to Attention-based Neural Machine Translation

https://github.com/Pengxiao-Wang/Typeface-and-Font-Style-Transfer

Typeface Completion with Generative Adversarial Networks

https://github.com/PeteXC/Transfer-Learning

Transfer Learning for Related Reinforcement Learning Tasks via Image-to-Image Translation

https://github.com/Pezhin/best_yelp_review_project_ever

Attention Is All You Need

https://github.com/PhilippSchmaelzle/mono_depth

Unsupervised Monocular Depth Learning in Dynamic Scenes

https://github.com/PieterBijl/Group28

Image-to-Image Translation with Conditional Adversarial Networks

https://github.com/Pillercottrer/radcap_project

Show and Tell: A Neural Image Caption Generator

https://github.com/PracNeyman/attention_guided_img_trans

Unsupervised Attention-guided Image to Image Translation

https://github.com/PramuPerera/In2I

In2I : Unsupervised Multi-Image-to-Image Translation Using Generative Adversarial Networks

https://github.com/Pranav-Patil-7/Automatic_Image_Captioning_Project

Show and Tell: A Neural Image Caption Generator

https://github.com/Pranav21091996/Semantic_Fidelity-and-Egoshots

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

https://github.com/PranotiDesai/MachineTranslation

A Hybrid Approach For Hindi-English Machine Translation

https://github.com/PrateekMunjal/Autoencoding-beyond-pixels-using-a-learned-similarity-metric

Autoencoding beyond pixels using a learned similarity metric

https://github.com/PrideLee/sentiment-analysis

Attention Is All You Need

https://github.com/Pruthwik/Odia-POS-Tagger

Building Odia Shallow Parser

https://github.com/PuchatekwSzortach/pix2pix

Image-to-Image Translation with Conditional Adversarial Networks

https://github.com/QXL4515/CAGFuzz

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

https://github.com/Qengineering/Rfcn_ncnn

R-FCN: Object Detection via Region-based Fully Convolutional Networks

https://github.com/Qi-Xian/color-transfer_HW1

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

https://github.com/RAGHAV2998/Everybody-Can-Dance-Now-Video-game-version-

Image-to-Image Translation with Conditional Adversarial Networks

https://github.com/RRoundTable/OceanLitter_dataset_generator

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

https://github.com/Raghav-Bell/Software/blob/main/Data/ML_mnist.ipynb

An Ensemble of Simple Convolutional Neural Network Models for MNIST Digit Recognition

https://github.com/Ram81/AC-VAEGAN-PyTorch

Autoencoding beyond pixels using a learned similarity metric

https://github.com/Rami97rgb/French-to-English-Translator

Attention Is All You Need

https://github.com/RanBezen/cycleGan_handwriting

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

https://github.com/Recognito-Vision/Android-FaceRecognition-FaceLivenessDetection

Editable Neural Networks

https://github.com/Recognito-Vision/Linux-FaceRecognition-FaceLivenessDetection

Disrupting Deepfakes: Adversarial Attacks Against Conditional Image Translation Networks and Facial Manipulation Systems

https://github.com/Remiphilius/PoemesProfonds

Attention Is All You Need

https://github.com/RenXiangyuan/tf_bert

Attention Is All You Need

https://github.com/RezisEwig/cyclegan

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

https://github.com/RichardChangCA/CSI_5386_NLP_Project

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

https://github.com/Ritam9/CycleGAN

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

https://github.com/Ritam9/DualGAN

DualGAN: Unsupervised Dual Learning for Image-to-Image Translation

https://github.com/Rivendile/ACL-GAN

Unpaired Image-to-Image Translation using Adversarial Consistency Loss

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