https://github.com/STomoya/MambaPainter
공식 코드MambaPainter: Neural Stroke-Based Rendering in a Single Step
Papers with Code 아카이브
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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/SURA23/Sinus-Surgery-Endoscopic-Image-Datasets
공식 코드LC-GAN: Image-to-image Translation Based on Generative Adversarial Network for Endoscopic Images
https://github.com/Sachin19/seq2seq-con
공식 코드Von Mises-Fisher Loss for Training Sequence to Sequence Models with Continuous Outputs
https://github.com/Sagarika-Singh-99/indonesian_manhwa_translation
공식 코드Crossing Language Borders: A Pipeline for Indonesian Manhwa Translation
https://github.com/SageSELab/CodeSumStudy
공식 코드Code to Comment Translation: A Comparative Study on Model Effectiveness & Errors
https://github.com/SaiedAlshahrani/leveraging-corpus-metadata
공식 코드https://github.com/SamuelGabriel/sqlbpe
공식 코드https://github.com/Sanqiang/text_simplification
공식 코드Integrating Transformer and Paraphrase Rules for Sentence Simplification
https://github.com/SarderLab/H-AI-L
공식 코드https://github.com/Saurav0074/nmt-based-word-transduction
공식 코드https://github.com/ShaniGam/RL-GAN
공식 코드Transfer Learning for Related Reinforcement Learning Tasks via Image-to-Image Translation
https://github.com/ShannonAI/backdoor_nlg
공식 코드Defending Against Backdoor Attacks in Natural Language Generation
https://github.com/ShannonAI/fast-knn-nmt
공식 코드https://github.com/SharifAmit/Attention2Angio
공식 코드https://github.com/SimiaoZuo/Caching-Adv
공식 코드ARCH: Efficient Adversarial Regularized Training with Caching
https://github.com/SimingYan/Hybrid_Relative_Pose
공식 코드https://github.com/Simpleple/Verdi
공식 코드Verdi: Quality Estimation and Error Detection for Bilingual Corpora
https://github.com/SkBlaz/attviz
공식 코드AttViz: Online exploration of self-attention for transparent neural language modeling
https://github.com/Smu-Tan/Remedy
공식 코드Remedy: Learning Machine Translation Evaluation from Human Preferences with Reward Modeling
https://github.com/Smu-Tan/ZS-NMT-Variations
공식 코드Towards a Better Understanding of Variations in Zero-Shot Neural Machine Translation Performance
https://github.com/SouravDutta91/map-low-resource-embeddings
공식 코드Mapping Supervised Bilingual Word Embeddings from English to low-resource languages
https://github.com/SourcecodeSharing/CWSpostediting
공식 코드Neural Chinese Word Segmentation as Sequence to Sequence Translation
https://github.com/StatNLP/mt-correct-mark-interface
공식 코드Correct Me If You Can: Learning from Error Corrections and Markings
https://github.com/SteffenCzolbe/PerceptualSimilarity
공식 코드A Loss Function for Generative Neural Networks Based on Watson's Perceptual Model
https://github.com/StillKeepTry/ECM-NMT
공식 코드https://github.com/Styrke/master-code
공식 코드Neural Machine Translation with Characters and Hierarchical Encoding
https://github.com/SunbowLiu/CopyingPenalty
공식 코드On the Copying Behaviors of Pre-Training for Neural Machine Translation
https://github.com/SunbowLiu/SurfaceFusion
공식 코드Understanding and Improving Encoder Layer Fusion in Sequence-to-Sequence Learning
https://github.com/SwordYork/DCNMT
공식 코드https://github.com/TAMU-VITA/AGD
공식 코드AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks
https://github.com/THUNLP-AIPoet/CCPM
공식 코드https://github.com/THUNLP-MT/L2Copy4APE
공식 코드https://github.com/THUNLP-MT/Mask-Align
공식 코드https://github.com/THUNLP-MT/THUMT
공식 코드https://github.com/THUNLP-MT/TRICE
공식 코드Transfer Learning for Sequence Generation: from Single-source to Multi-source
https://github.com/THUNLP-MT/UCE4BT
공식 코드Improving Back-Translation with Uncertainty-based Confidence Estimation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.