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코드

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

https://github.com/sonalinayak/nlg-eval

Relevance of Unsupervised Metrics in Task-Oriented Dialogue for Evaluating Natural Language Generation

https://github.com/sonalisrijan/Deep-Learning-based-Defect-Prediction-Model-for-Source-Code

Attention Is All You Need

https://github.com/songchujun/joeynmt

Sockeye: A Toolkit for Neural Machine Translation

https://github.com/songjmcn/yolact

YOLACT: Real-time Instance Segmentation

https://github.com/songquanpeng/XploreGAN

Exploring Unlabeled Faces for Novel Attribute Discovery

https://github.com/sonnguyen129/deep-feature-rotation

Unified Style Transfer

https://github.com/sonrisa07/transformer

Attention Is All You Need

https://github.com/sooftware/Attention-Implementation

Neural Machine Translation by Jointly Learning to Align and Translate

https://github.com/sooftware/End-to-end-Speech-Recognition

Attention-Based Models for Speech Recognition

https://github.com/sooftware/Fairseq-Listen-Attend-Spell

Transformers with convolutional context for ASR

https://github.com/sooftware/OpenSpeech

Attention-Based Models for Speech Recognition

https://github.com/sooftware/attentions

Neural Machine Translation by Jointly Learning to Align and Translate

https://github.com/sooftware/luna-transformer

Luna: Linear Unified Nested Attention

https://github.com/sooftware/nlp-attentions

Neural Machine Translation by Jointly Learning to Align and Translate

https://github.com/sophiajw/HistAuGAN

DRIT++: Diverse Image-to-Image Translation via Disentangled Representations

https://github.com/soumik12345/Automatic-Number-Plate-Recognition

Show and Tell: A Neural Image Caption Generator

https://github.com/soumik12345/Pix2Pix

Image-to-Image Translation with Conditional Adversarial Networks

https://github.com/soumik12345/transformer.pytorch

Attention Is All You Need

https://github.com/soumyaumass/umwe

Unsupervised Multilingual Word Embeddings

https://github.com/soupstandstop/test

Massive Exploration of Neural Machine Translation Architectures

https://github.com/souvikshanku/digit-captioning

Show and Tell: A Neural Image Caption Generator

https://github.com/souvikshanku/show-attend-and-tell

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

https://github.com/souvikshanku/translit-former

Attention Is All You Need

https://github.com/sovit-123/Deep-Learning-Image-Captioning

Show and Tell: A Neural Image Caption Generator

https://github.com/soyoung97/awd-lstm-gru

Regularizing and Optimizing LSTM Language Models

https://github.com/soyoung97/fairseq-gec-korean

Improving Grammatical Error Correction via Pre-Training a Copy-Augmented Architecture with Unlabeled Data

https://github.com/soyoung97/fairseq-mlm-scoring

Masked Language Model Scoring

https://github.com/soyoung97/mlm-scoring

Masked Language Model Scoring

https://github.com/sparks-baird/mp-time-split

Crystal Diffusion Variational Autoencoder for Periodic Material Generation

https://github.com/speechtranslation/gigas2s

GigaST: A 10,000-hour Pseudo Speech Translation Corpus

https://github.com/spiridonoff/Monet

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

https://github.com/spratskevich/Lemmatizer

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

https://github.com/spsagar13/deep_learning.cv.and.nlp

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

https://github.com/sraj-whatdoesthedatasay/Capstone

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

https://github.com/sriharireddypusapati/speech-to-text-wavenet2

Neural Machine Translation in Linear Time

https://github.com/sroutray/pix2pix-isola

Image-to-Image Translation with Conditional Adversarial Networks

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