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코드

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

https://github.com/sblayush/summarization

Effective Approaches to Attention-based Neural Machine Translation

https://github.com/schwartznir/AbstrEncap

Neural Machine Translation by Jointly Learning to Align and Translate

https://github.com/scientific-computing-lab-nrcn/mpi-rigen

MPI-rical: Data-Driven MPI Distributed Parallelism Assistance with Transformers

https://github.com/scpark20/universal-music-translation

A Universal Music Translation Network

https://github.com/scrayish/ML_NLP

Attention Is All You Need

https://github.com/sd2001/Auto-Image2Caption

Show and Tell: A Neural Image Caption Generator

https://github.com/sd2001/Image2Caption

Show and Tell: A Neural Image Caption Generator

https://github.com/sdnr1/c-gan_pix2pix

Image-to-Image Translation with Conditional Adversarial Networks

https://github.com/sdxone/resolution

Learning Temporal Coherence via Self-Supervision for GAN-based Video Generation

https://github.com/seangal/dcgan_vae_pytorch

Autoencoding beyond pixels using a learned similarity metric

https://github.com/seaweiqing/image2story

Neural Network Translation Models for Grammatical Error Correction

https://github.com/seaweiqing/neuraltalk_plus_charcnn

Neural Network Translation Models for Grammatical Error Correction

https://github.com/sebastianGehrmann/tensorflow-statereader

Recurrent Neural Network Regularization

https://github.com/sebiancoder/bertscorevisualizer

BERTScore: Evaluating Text Generation with BERT

https://github.com/selimseker/logogram-language-generator

Exploiting Similarities among Languages for Machine Translation

https://github.com/selmiss/gp-tlstgcn

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

https://github.com/semal/bert

Attention Is All You Need

https://github.com/semicontinuity/nlp

Attention Is All You Need

https://github.com/sen-pai/audio-word2vec-pytorch

Neural Machine Translation by Jointly Learning to Align and Translate

https://github.com/seominseok0429/inception-I3D-NON-LOCAL

Attention Is All You Need

https://github.com/seominseok0429/label-smoothing-visualization-pytorch

When Does Label Smoothing Help?

https://github.com/septmars/DL

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

https://github.com/sergeisoly/CycleGAN

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

https://github.com/servicenow/picard

PICARD: Parsing Incrementally for Constrained Auto-Regressive Decoding from Language Models

https://github.com/setu4993/convert-labse-tf-pt

Language-agnostic BERT Sentence Embedding

https://github.com/seunghwan1228/Transfomer-MachineTranslation

Attention Is All You Need

https://github.com/seungwonpark/melgan

MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis

https://github.com/sgrvinod/a-PyTorch-Tutorial-to-Image-Captioning

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

https://github.com/sh21kang/OCR_V1

Handwritten Bangla Character Recognition Using The State-of-Art Deep Convolutional Neural Networks

https://github.com/sh951011/Attention-Implementation

Neural Machine Translation by Jointly Learning to Align and Translate

https://github.com/shahrukhx01/ocr-test

Attention Is All You Need

https://github.com/shaikhzhas/bert

Attention Is All You Need

https://github.com/shallowtoil/DROL

SiamRPN++: Evolution of Siamese Visual Tracking with Very Deep Networks

https://github.com/shamanez/BERT-like-is-All-You-Need

fairseq: A Fast, Extensible Toolkit for Sequence Modeling

https://github.com/shamanez/Self-Supervised-Embedding-Fusion-Transformer

fairseq: A Fast, Extensible Toolkit for Sequence Modeling

https://github.com/shangeth/Vehicle_Speed_Estimation

Show and Tell: A Neural Image Caption Generator

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