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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/ZHANG45/multi_gpu_seq2seq

Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

https://github.com/ZTianle/keras-tcn-solar

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

https://github.com/ZackPashkin/text2cartoon-pytorch-CLIP

GANs N' Roses: Stable, Controllable, Diverse Image to Image Translation (works for videos too!)

https://github.com/ZahinAkram/Unsupervised-Neural-Machine-Translation-Bangla-To-English-English-to-Bangla-

Word Translation Without Parallel Data

https://github.com/ZanzaKlaus/DeepTranslate

Massive Exploration of Neural Machine Translation Architectures

https://github.com/Zefty/rag-end2end-retriever

Pre-training via Paraphrasing

https://github.com/Zehui127/SQUAD_BERT

Attention Is All You Need

https://github.com/Zelgunn/CustomKerasLayers

Fixup Initialization: Residual Learning Without Normalization

https://github.com/ZhangGongjie/CycleGAN-Pytorch

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

https://github.com/Zhangyuewei98/arctic-captions-py3

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

https://github.com/ZhenYangIACAS/NMT

Modeling Coverage for Neural Machine Translation

https://github.com/ZmeiGorynych/transformer_pytorch

Attention Is All You Need

https://github.com/ZwX1616/mxnet-CoordConv

An Intriguing Failing of Convolutional Neural Networks and the CoordConv Solution

https://github.com/a-martyn/unet

Image-to-Image Translation with Conditional Adversarial Networks

https://github.com/a414351664/Bert_MRC

Attention Is All You Need

https://github.com/aaaceo890/Attention

Neural Machine Translation by Jointly Learning to Align and Translate

https://github.com/aaditkapoor/PDFExtract

HAT: Hardware-Aware Transformers for Efficient Natural Language Processing

https://github.com/aaltoml/spatio-temporal-gps

Periodic Activation Functions Induce Stationarity

https://github.com/aaronH45/sentimentAnalysis

Attention Is All You Need

https://github.com/aasharma90/CycleStereoGAN_NighttimeDepth

Nighttime Stereo Depth Estimation using Joint Translation-Stereo Learning: Light Effects and Uninformative Regions

https://github.com/aayushbansal/Recycle-GAN

Recycle-GAN: Unsupervised Video Retargeting

https://github.com/abdosharaf98/active-sensing-paper

Recurrent Models of Visual Attention

https://github.com/abhaskumarsinha/Keras-implementation-of-Transformer-Architecture

Attention Is All You Need

https://github.com/abhaskumarsinha/Keras-implementation-of-Transformer-Architecture/blob/main/Transformer.py

Attention Is All You Need

https://github.com/abhaskumarsinha/MinimalGPT

Attention Is All You Need

https://github.com/abhaskumarsinha/Seq2Seq-Bahdanau-Attention-based-Encoder-Decoder-Language-Translator

Neural Machine Translation by Jointly Learning to Align and Translate

https://github.com/abhiagg92/bert_sentiment

Attention Is All You Need

https://github.com/abhilashreddys/Fake-News-Article

Attention Is All You Need

https://github.com/abhinavnagpal/KNOWLEDGE-GRAPH-PAPERS

Seq2RDF: An end-to-end application for deriving Triples from Natural Language Text

https://github.com/abhishekr7/Summarization-of-Radiological-Reports

Neural Machine Translation by Jointly Learning to Align and Translate

https://github.com/abhishekshakya/seq-2-seq-for-neural-machine-translation-english-to-hindi-

Neural Machine Translation by Jointly Learning to Align and Translate

https://github.com/abhishtagatya/paintgan

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

https://github.com/abmitra84/Machine_Translation

Neural Machine Translation by Jointly Learning to Align and Translate

https://github.com/abods/generative_painting

Image-to-Image Translation with Conditional Adversarial Networks

https://github.com/abstractteen/antiforgery

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

https://github.com/ac-93/tactile_gym_servo_control

Tactile Sim-to-Real Policy Transfer via Real-to-Sim Image Translation

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