https://github.com/bytedance/neurst
공식 코드Towards Making the Most of BERT in Neural Machine Translation
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/bytedance/neurst/tree/master/examples/ctnmt
공식 코드Towards Making the Most of BERT in Neural Machine Translation
https://github.com/bytedance/omgd
공식 코드https://github.com/bytedance/salmonn
공식 코드SALMONN: Towards Generic Hearing Abilities for Large Language Models
https://github.com/byteresearchcla/realsi
공식 코드Towards Achieving Human Parity on End-to-end Simultaneous Speech Translation via LLM Agent
https://github.com/bzhangGo/ATR
공식 코드Simplifying Neural Machine Translation with Addition-Subtraction Twin-Gated Recurrent Networks
https://github.com/bzhangGo/sltunet
공식 코드SLTUNET: A Simple Unified Model for Sign Language Translation
https://github.com/bzhangGo/zero
공식 코드Simplifying Neural Machine Translation with Addition-Subtraction Twin-Gated Recurrent Networks
https://github.com/bzhangXMU/transformer-aan
공식 코드Accelerating Neural Transformer via an Average Attention Network
https://github.com/c4ai/gap-text2sql
공식 코드https://github.com/cambridge-mlg/convcnp
공식 코드https://github.com/cambridgeltl/ECNMT
공식 코드Emergent Communication Pretraining for Few-Shot Machine Translation
https://github.com/cambridgeltl/multi3woz
공식 코드https://github.com/cambridgeltl/sail-bli
공식 코드Self-Augmented In-Context Learning for Unsupervised Word Translation
https://github.com/cambridgeltl/xcopa
공식 코드XCOPA: A Multilingual Dataset for Causal Commonsense Reasoning
https://github.com/camma-public/cvs_annotator
공식 코드https://github.com/cancanxxx/round_trip_translation_defence
공식 코드Round Trip Translation Defence against Large Language Model Jailbreaking Attacks
https://github.com/caojiezhang/MWGAN
공식 코드https://github.com/carhaas/nematus
공식 코드Learning Neural Sequence-to-Sequence Models from Weak Feedback with Bipolar Ramp Loss
https://github.com/carolineec/informative-drawings
공식 코드Learning to generate line drawings that convey geometry and semantics
https://github.com/carolscarton/iwslt2019
공식 코드https://github.com/catlab-team/graph2pix
공식 코드Graph2Pix: A Graph-Based Image to Image Translation Framework
https://github.com/cbadenes/crosslingual-semantic-similarity
공식 코드Scalable Cross-lingual Document Similarity through Language-specific Concept Hierarchies
https://github.com/cbaziotis/fairseq
공식 코드https://github.com/cbaziotis/fairseq/tree/hyperadapters/examples/adapters
공식 코드https://github.com/cbaziotis/lm-prior-for-nmt
공식 코드Language Model Prior for Low-Resource Neural Machine Translation
https://github.com/cbaziotis/nmt-pretraining-objectives
공식 코드Exploring Unsupervised Pretraining Objectives for Machine Translation
https://github.com/cc-hpc-itwm/facialgan
공식 코드FacialGAN: Style Transfer and Attribute Manipulation on Synthetic Faces
https://github.com/ccasimiro88/TranslateAlignRetrieve
공식 코드Automatic Spanish Translation of the SQuAD Dataset for Multilingual Question Answering
https://github.com/ccsasuke/umwe
공식 코드https://github.com/cdli-gh/Semi-Supervised-NMT-for-Sumerian-English
공식 코드How Low is Too Low? A Computational Perspective on Extremely Low-Resource Languages
https://github.com/cdli-gh/Sumerian-Translation-Pipeline
공식 코드How Low is Too Low? A Computational Perspective on Extremely Low-Resource Languages
https://github.com/ceciliavision/zoom-learn-zoom
공식 코드https://github.com/cefriel/chimera
공식 코드https://github.com/cepin19/semeval2020_task4
공식 코드https://github.com/cesaremagnetti/automaticusnavigation
공식 코드Cross Modality 3D Navigation Using Reinforcement Learning and Neural Style Transfer
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.