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코드

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

https://github.com/gnobitab/RectifiedFlow

공식 코드

Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow

https://github.com/godisboy/DRPAN

공식 코드

Discriminative Region Proposal Adversarial Networks for High-Quality Image-to-Image Translation

https://github.com/gojasper/lbm

공식 코드

LBM: Latent Bridge Matching for Fast Image-to-Image Translation

https://github.com/gonenhila/mbert

공식 코드

It's not Greek to mBERT: Inducing Word-Level Translations from Multilingual BERT

https://github.com/google-research-datasets/cvss

공식 코드

CVSS Corpus and Massively Multilingual Speech-to-Speech Translation

https://github.com/google-research-datasets/maxm

공식 코드

MaXM: Towards Multilingual Visual Question Answering

https://github.com/google-research-datasets/mittens

공식 코드

MiTTenS: A Dataset for Evaluating Gender Mistranslation

https://github.com/google-research-datasets/tydiqa

공식 코드

TyDi QA: A Benchmark for Information-Seeking Question Answering in Typologically Diverse Languages

https://github.com/google-research/babelcode

공식 코드

Measuring The Impact Of Programming Language Distribution

https://github.com/google-research/bleurt

공식 코드

Learning Compact Metrics for MT

https://github.com/google-research/google-research

공식 코드

Unsupervised Monocular Depth Learning in Dynamic Scenes

https://github.com/google-research/google-research/tree/master/felix

공식 코드

Felix: Flexible Text Editing Through Tagging and Insertion

https://github.com/google-research/google-research/tree/master/scalable_shampoo/jax

공식 코드

Scalable Second Order Optimization for Deep Learning

https://github.com/google-research/google-research/tree/master/sm3

공식 코드

Memory-Efficient Adaptive Optimization

https://github.com/google-research/language/tree/master/language/labs/consistent_zero_shot_nmt

공식 코드

Consistency by Agreement in Zero-shot Neural Machine Translation

https://github.com/google-research/masksketch

공식 코드

MaskSketch: Unpaired Structure-guided Masked Image Generation

https://github.com/google-research/metricx

공식 코드

MetricX-24: The Google Submission to the WMT 2024 Metrics Shared Task

https://github.com/google-research/multilingual-t5

공식 코드

mT5: A massively multilingual pre-trained text-to-text transformer

https://github.com/google-research/url-nlp

공식 코드

Bilex Rx: Lexical Data Augmentation for Massively Multilingual Machine Translation

https://github.com/google/aqt

공식 코드

Binarized Neural Machine Translation

https://github.com/google/sentencepiece

공식 코드

Subword Regularization: Improving Neural Network Translation Models with Multiple Subword Candidates

https://github.com/google/seq2seq

공식 코드

Massive Exploration of Neural Machine Translation Architectures

https://github.com/google/wmt-mqm-human-evaluation

공식 코드

Experts, Errors, and Context: A Large-Scale Study of Human Evaluation for Machine Translation

https://github.com/google/wmt19-paraphrased-references

공식 코드

BLEU might be Guilty but References are not Innocent

https://github.com/googlei18n/transliteration

공식 코드

Sequence-to-sequence neural network models for transliteration

https://github.com/gorokoba560/norm-analysis-of-transformer

공식 코드

Attention is Not Only a Weight: Analyzing Transformers with Vector Norms

https://github.com/gosha20777/rawformer

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Rawformer: Unpaired Raw-to-Raw Translation for Learnable Camera ISPs

https://github.com/gouwsmeister/bilbowa

공식 코드

BilBOWA: Fast Bilingual Distributed Representations without Word Alignments

https://github.com/gpengzhi/Bi-SimCut

공식 코드

Bi-SimCut: A Simple Strategy for Boosting Neural Machine Translation

https://github.com/gpengzhi/CrossConST-MT

공식 코드

Improving Zero-shot Multilingual Neural Machine Translation by Leveraging Cross-lingual Consistency Regularization

https://github.com/gpengzhi/crossconst-llm

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Towards Boosting Many-to-Many Multilingual Machine Translation with Large Language Models

https://github.com/gpengzhi/crossconst-sr

공식 코드

Learning Multilingual Sentence Representations with Cross-lingual Consistency Regularization

https://github.com/gpengzhi/simcr

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An Empirical Study of Consistency Regularization for End-to-End Speech-to-Text Translation

https://github.com/gr8joo/IIAE

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Variational Interaction Information Maximization for Cross-domain Disentanglement

https://github.com/grammatical/neural-naacl2018

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Approaching Neural Grammatical Error Correction as a Low-Resource Machine Translation Task

https://github.com/graykode/commit-autosuggestions

공식 코드

CommitBERT: Commit Message Generation Using Pre-Trained Programming Language Model

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