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태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/raingo/TGIF-Release
공식 코드TGIF: A New Dataset and Benchmark on Animated GIF Description
https://github.com/rajiv1990/Unsupervised-Cross-domain-I2I-using-a-Shared-Discriminator
공식 코드Learning Unsupervised Cross-domain Image-to-Image Translation Using a Shared Discriminator
https://github.com/ramisa2108/bangla-complex-named-entity-recognition-challenge
공식 코드Bangla Grammatical Error Detection Using T5 Transformer Model
https://github.com/ramyakeerthy/alignmentfol
공식 코드Assessing the Alignment of FOL Closeness Metrics with Human Judgement
https://github.com/ranqiu92/RecoverSAT
공식 코드Learning to Recover from Multi-Modality Errors for Non-Autoregressive Neural Machine Translation
https://github.com/raosudha89/GYAFC-corpus
공식 코드https://github.com/raphaelmerx/mambai
공식 코드https://github.com/raphaelmerx/tulun
공식 코드TULUN: Transparent and Adaptable Low-resource Machine Translation
https://github.com/rasoolims/ImageTranslate
공식 코드"Wikily" Supervised Neural Translation Tailored to Cross-Lingual Tasks
https://github.com/rasoolims/PBreak
공식 코드https://github.com/rasoolims/YaraParser
공식 코드https://github.com/ratishsp/decomt
공식 코드Decomposed Prompting for Machine Translation Between Related Languages using Large Language Models
https://github.com/raymondhs/constrained-levt
공식 코드Lexically Constrained Neural Machine Translation with Levenshtein Transformer
https://github.com/raymondyeh07/equivariance_discovery
공식 코드https://github.com/rbawden/DiaBLa-dataset
공식 코드DiaBLa: A Corpus of Bilingual Spontaneous Written Dialogues for Machine Translation
https://github.com/rbawden/mt-bigscience
공식 코드Investigating the Translation Performance of a Large Multilingual Language Model: the Case of BLOOM
https://github.com/reddy-lab-code-research/codeattack
공식 코드CodeAttack: Code-Based Adversarial Attacks for Pre-trained Programming Language Models
https://github.com/redpony/cdec
공식 코드Scalable Machine Translation in Memory Constrained Environments
https://github.com/reneeye/const
공식 코드https://github.com/research-anonymous/multiparallelfinetuning4mmt
공식 코드https://github.com/retinal-research/redot
공식 코드https://github.com/reubenharry/pragmatic-translation
공식 코드Lost in Machine Translation: A Method to Reduce Meaning Loss
https://github.com/rgwt123/DialogueMT
공식 코드https://github.com/richardobi/frd-score
공식 코드Fréchet Radiomic Distance (FRD): A Versatile Metric for Comparing Medical Imaging Datasets
https://github.com/rigorous-software-engineering/nomos
공식 코드Automatically Testing Functional Properties of Code Translation Models
https://github.com/ringoreality/uniblock
공식 코드uniblock: Scoring and Filtering Corpus with Unicode Block Information
https://github.com/riselabqueens/forge24-code-translation
공식 코드https://github.com/ristea/cycle-transformer
공식 코드https://github.com/rizar/actor-critic-public
공식 코드https://github.com/rmokady/mbu-content-tansfer
공식 코드https://github.com/rmokady/structural-analogy
공식 코드https://github.com/robert-graf/readable-conditional-denoising-diffusion
공식 코드Denoising diffusion-based MRI to CT image translation enables automated spinal segmentation
https://github.com/robertostling/hnmt
공식 코드https://github.com/robustml-eurecom/quality_control_CMR
공식 코드Efficient Model Monitoring for Quality Control in Cardiac Image Segmentation
https://github.com/rocavincent/iguane_harmonization
공식 코드IGUANe: a 3D generalizable CycleGAN for multicenter harmonization of brain MR images
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.