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

https://github.com/IpastorSan/seq2seq-with-attention-OCR-translation

Neural Machine Translation by Jointly Learning to Align and Translate

https://github.com/IvanVassi/Seq2Seq-w-attention-dialogue-model

Sequence to Sequence Learning with Neural Networks

https://github.com/IzabelaKrupinska/PROJBAD

Deep Visual-Semantic Alignments for Generating Image Descriptions

https://github.com/Izecson/saml-nmt

Neural Machine Translation by Jointly Learning to Align and Translate

https://github.com/Izecson/sockeye-1.16.6

Neural Machine Translation by Jointly Learning to Align and Translate

https://github.com/JRC1995/Abstractive-Summarization

Neural Machine Translation by Jointly Learning to Align and Translate

https://github.com/JZ-LIANG/CRF-LSTM-NER

Bidirectional LSTM-CRF Models for Sequence Tagging

https://github.com/JabezNzomo99/claim-matching-robustness

Making Monolingual Sentence Embeddings Multilingual using Knowledge Distillation

https://github.com/JacobLau0513/676-MBTI

Convolutional Neural Networks for Sentence Classification

https://github.com/JairParra/GloVe-ML_Reproducibiliaty_Challenge

Extraction of Salient Sentences from Labelled Documents

https://github.com/JairParra/ML_Reproducibility_Challenge

Extraction of Salient Sentences from Labelled Documents

https://github.com/JanakaSandaruwan/El-Kishky-Guzman-Document-Alignment

Massively Multilingual Document Alignment with Cross-lingual Sentence-Mover's Distance

https://github.com/Jarvx/text-classification-pytorch

Convolutional Neural Networks for Sentence Classification

https://github.com/Jayanthipalanichamy/ElucidateTheScene

Show and Tell: Lessons learned from the 2015 MSCOCO Image Captioning Challenge

https://github.com/JeongHun0716/e-mvsr

Efficient Training for Multilingual Visual Speech Recognition: Pre-training with Discretized Visual Speech Representation

https://github.com/JerryKwon/melon_plylst_continuation

Taming Pretrained Transformers for Extreme Multi-label Text Classification

https://github.com/JerryX1110/awesome-rvos

Actor and Action Video Segmentation from a Sentence

https://github.com/Jerryten/model_nlp

Convolutional Neural Networks for Sentence Classification

https://github.com/Jessicak016/lstm_nli

Supervised Learning of Universal Sentence Representations from Natural Language Inference Data

https://github.com/JiachuanDENG/CNN-Textual-RegressionModel-for-commodity-price-prediction

Convolutional Neural Networks for Sentence Classification

https://github.com/JiachuanDENG/Pytorch-CNN-Textual-RegressionModel-for-commodity-price-prediction

Convolutional Neural Networks for Sentence Classification

https://github.com/JiyangZhang/learning-to-reweight-in-relation-extraion

Improving Distantly Supervised Relation Extraction using Word and Entity Based Attention

https://github.com/JohnGiorgi/compact-multi-head-self-attention-pytorch

Low Rank Factorization for Compact Multi-Head Self-Attention

https://github.com/Johnnylyu/Text-Mining-and-Classification-for-Attain

Convolutional Neural Networks for Sentence Classification

https://github.com/Js-Mim/rl_singing_voice

Learning Speaker Representations with Mutual Information

https://github.com/JuneFeng/RelationClassification-RL

Reinforcement Learning for Relation Classification from Noisy Data

https://github.com/JunjieHu/xtreme-dev

XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual Generalization

https://github.com/JunnYu/paddle-mpnet

MPNet: Masked and Permuted Pre-training for Language Understanding

https://github.com/JunnYu/x-transformers-paddle

Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View

https://github.com/Jverma/cnn-text-classification-keras

Convolutional Neural Networks for Sentence Classification

https://github.com/Jxu-Thu/DIITTO

Learning to Break the Loop: Analyzing and Mitigating Repetitions for Neural Text Generation

https://github.com/Kailianghu/A-Structured-Self-Attentive-Sentence-Embedding

A Structured Self-attentive Sentence Embedding

https://github.com/Kamino666/S2VT-video-caption

Sequence to Sequence -- Video to Text

https://github.com/KastanDay/video-pretrained-transformer

Vid2Seq: Large-Scale Pretraining of a Visual Language Model for Dense Video Captioning

https://github.com/KeLi-gavin/CS8750

Multi-Task Identification of Entities, Relations, and Coreference for Scientific Knowledge Graph Construction

https://github.com/Kelechukwu1/PidginUNMT

Phrase-Based & Neural Unsupervised Machine Translation

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