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

https://github.com/insigh/THUMT

Neural Machine Translation by Jointly Learning to Align and Translate

https://github.com/inspirehep/magpie

Convolutional Neural Networks for Sentence Classification

https://github.com/ionnoant/DS8008-final-project

Text Summarization with Pretrained Encoders

https://github.com/isabelline/Text_VAE_tf

Generating Sentences from a Continuous Space

https://github.com/isi-nlp/Zoph_RNN

Sequence to Sequence Learning with Neural Networks

https://github.com/itsShnik/adaptively-finetuning-transformers

LXMERT: Learning Cross-Modality Encoder Representations from Transformers

https://github.com/ivMCL/AttentiveNorm_Detection

AOGNets: Compositional Grammatical Architectures for Deep Learning

https://github.com/ivabojic/sleepqa

ELI5: Long Form Question Answering

https://github.com/ivan-bilan/tac-self-attention

Position-aware Self-attention with Relative Positional Encodings for Slot Filling

https://github.com/jackjhliu/End-to-End-Mandarin-ASR

Effective Approaches to Attention-based Neural Machine Translation

https://github.com/jackjhliu/Pytorch-End-to-End-ASR-on-TIMIT

Effective Approaches to Attention-based Neural Machine Translation

https://github.com/jacksonchen1998/Cold-Start-Reinforcement-Learning-with-Softmax-Policy-Gradient

CIDEr: Consensus-based Image Description Evaluation

https://github.com/jacobkrantz/NeuralSum

Abstractive Summarization Using Attentive Neural Techniques

https://github.com/jacobwwh/tbcnn-dgl

Convolutional Neural Networks over Tree Structures for Programming Language Processing

https://github.com/jadore801120/attention-is-all-you-need-pytorch

A Structured Self-attentive Sentence Embedding

https://github.com/jaketae/tupe

Rethinking Positional Encoding in Language Pre-training

https://github.com/jamespark3922/adv-inf

Adversarial Inference for Multi-Sentence Video Description

https://github.com/jananiarunachalam/Research-Paper-Summarization

A Supervised Approach to Extractive Summarisation of Scientific Papers

https://github.com/jasminsternkopf/mel_cepstral_distance

VoiceLoop: Voice Fitting and Synthesis via a Phonological Loop

https://github.com/jasonyux/gdpzero

Persuasion for Good: Towards a Personalized Persuasive Dialogue System for Social Good

https://github.com/jastfkjg/semantic-matching

A Deep Architecture for Semantic Matching with Multiple Positional Sentence Representations

https://github.com/jazzsaxmafia/show_and_tell.tensorflow

Show and Tell: A Neural Image Caption Generator

https://github.com/jcaip/quickthoughts

An efficient framework for learning sentence representations

https://github.com/jd-ai-research-silicon-valley/sae

Select, Answer and Explain: Interpretable Multi-hop Reading Comprehension over Multiple Documents

https://github.com/jdai-cv/image-captioning

X-Linear Attention Networks for Image Captioning

https://github.com/jdeschena/sdtt

The LAMBADA dataset: Word prediction requiring a broad discourse context

https://github.com/jean-kunz/ml_research_papers

Supervised Learning of Universal Sentence Representations from Natural Language Inference Data

https://github.com/jee1213/twitter_sentiment

Detecting state of aggression in sentences using CNN

https://github.com/jelifysh/Image-Captioning

Show and Tell: A Neural Image Caption Generator

https://github.com/jennhu/lm-task-demands

Language models align with human judgments on key grammatical constructions

https://github.com/jennhu/reflexive-anaphor-licensing

Targeted Syntactic Evaluation of Language Models

https://github.com/jeonghunyoon/Text-classification-tensorflow

A Sensitivity Analysis of (and Practitioners' Guide to) Convolutional Neural Networks for Sentence Classification

https://github.com/jeonghunyoon/text-classification-cnn-tf

A Sensitivity Analysis of (and Practitioners' Guide to) Convolutional Neural Networks for Sentence Classification

https://github.com/jeongukjae/KR-BERT-SimCSE

SimCSE: Simple Contrastive Learning of Sentence Embeddings

https://github.com/jeongukjae/smaller-labse

Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond

https://github.com/jerinphilip/fairseq-ilmt

A Multilingual Parallel Corpora Collection Effort for Indian Languages

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