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코드

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

https://github.com/roeeaharoni/unsupervised-domain-clusters

공식 코드

Unsupervised Domain Clusters in Pretrained Language Models

https://github.com/rohdelab/PyTransKit

공식 코드

The Signed Cumulative Distribution Transform for 1-D Signal Analysis and Classification

https://github.com/rohdelab/rcdt_ns_classifier

공식 코드

Radon cumulative distribution transform subspace modeling for image classification

https://github.com/romainpkq/chatgpt4mt

공식 코드

Towards Making the Most of ChatGPT for Machine Translation

https://github.com/romankoshkin/tollmatch

공식 코드

LLMs Are Zero-Shot Context-Aware Simultaneous Translators

https://github.com/rooshenas/ebr_mt

공식 코드

Energy-Based Reranking: Improving Neural Machine Translation Using Energy-Based Models

https://github.com/rotanpranto/Bangla-sign-language-Translator

공식 코드

Real-time Bangla Sign Language Translator

https://github.com/roudimit/whisper-flamingo

공식 코드

Whisper-Flamingo: Integrating Visual Features into Whisper for Audio-Visual Speech Recognition and Translation

https://github.com/roxot/mbr-nmt

공식 코드

Sampling-Based Approximations to Minimum Bayes Risk Decoding for Neural Machine Translation

https://github.com/royee182/dpl

공식 코드

Dual Path Learning for Domain Adaptation of Semantic Segmentation

https://github.com/rozumden/ShapeFromBlur

공식 코드

Shape from Blur: Recovering Textured 3D Shape and Motion of Fast Moving Objects

https://github.com/rpmsnu/srgb-tir

공식 코드

Edge-guided Multi-domain RGB-to-TIR image Translation for Training Vision Tasks with Challenging Labels

https://github.com/rsennrich/lingeval97

공식 코드

How Grammatical is Character-level Neural Machine Translation? Assessing MT Quality with Contrastive Translation Pairs

https://github.com/rsennrich/nematus

공식 코드

Nematus: a Toolkit for Neural Machine Translation

https://github.com/rsennrich/subword-nmt

공식 코드

Neural Machine Translation of Rare Words with Subword Units

https://github.com/rsennrich/wmt16-scripts

공식 코드

Edinburgh Neural Machine Translation Systems for WMT 16

https://github.com/rsummers11/CADLab

공식 코드

XLSor: A Robust and Accurate Lung Segmentor on Chest X-Rays Using Criss-Cross Attention and Customized Radiorealistic Abnormalities Generation

https://github.com/ruanchaves/hashformers

공식 코드

Zero-shot hashtag segmentation for multilingual sentiment analysis

https://github.com/ruathudo/post-ocr-correction

공식 코드

An Unsupervised method for OCR Post-Correction and Spelling Normalisation for Finnish

https://github.com/rucaibox/erya

공식 코드

Towards Effective Ancient Chinese Translation: Dataset, Model, and Evaluation

https://github.com/ruizgao/knnmt-meta-optimizer

공식 코드

Nearest Neighbor Machine Translation is Meta-Optimizer on Output Projection Layer

https://github.com/rutilel/tecs-a-dataset-and-benchmark-for-tense-consistency

공식 코드

TeCS: A Dataset and Benchmark for Tense Consistency of Machine Translation

https://github.com/rwth-i6/returnn

공식 코드

RETURNN as a Generic Flexible Neural Toolkit with Application to Translation and Speech Recognition

https://github.com/rycolab/differentiable-subset-pruning

공식 코드

Differentiable Subset Pruning of Transformer Heads

https://github.com/rycolab/differential-subset-pruning

공식 코드

Differentiable Subset Pruning of Transformer Heads

https://github.com/rycolab/uid-decoding

공식 코드

If beam search is the answer, what was the question?

https://github.com/rzhao-zhsq/cv-slt

공식 코드

Conditional Variational Autoencoder for Sign Language Translation with Cross-Modal Alignment

https://github.com/sacmehta/delight

공식 코드

DeFINE: DEep Factorized INput Token Embeddings for Neural Sequence Modeling

https://github.com/sade-adrien/stelocoder

공식 코드

SteloCoder: a Decoder-Only LLM for Multi-Language to Python Code Translation

https://github.com/sadransh/ontology-matching-framework

공식 코드

Truveta Mapper: A Zero-shot Ontology Alignment Framework

https://github.com/sagiebenaim/OneShotTranslation

공식 코드

One-Shot Unsupervised Cross Domain Translation

https://github.com/sagiebenaim/gan_bound

공식 코드

Estimating the Success of Unsupervised Image to Image Translation

https://github.com/saic-mdal/HiDT

공식 코드

High-Resolution Daytime Translation Without Domain Labels

https://github.com/saiedalshahrani/egyptian-wikipedia-scanner

공식 코드

Leveraging Corpus Metadata to Detect Template-based Translation: An Exploratory Case Study of the Egyptian Arabic Wikipedia Edition

https://github.com/saikat107/natgen

공식 코드

NatGen: Generative pre-training by "Naturalizing" source code

https://github.com/salesforce/awd-lstm-lm

공식 코드

Regularizing and Optimizing LSTM Language Models

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