https://github.com/liyc7711/doc2doc
공식 코드P-Transformer: Towards Better Document-to-Document Neural Machine Translation
Papers with Code 아카이브
Translation
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/liyunsheng13/BDL
공식 코드Bidirectional Learning for Domain Adaptation of Semantic Segmentation
https://github.com/lizhenwangt/styleavatar
공식 코드StyleAvatar: Real-time Photo-realistic Portrait Avatar from a Single Video
https://github.com/llm4rocq/minif2f-rocq
공식 코드MiniF2F in Rocq: Automatic Translation Between Proof Assistants -- A Case Study
https://github.com/llu025/Heterogeneous_CD
공식 코드https://github.com/locuslab/TCN
공식 코드An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling
https://github.com/locuslab/projected_sinkhorn
공식 코드Wasserstein Adversarial Examples via Projected Sinkhorn Iterations
https://github.com/lollipop321/mini-decoder-network
공식 코드https://github.com/lolrudy/lapose
공식 코드LaPose: Laplacian Mixture Shape Modeling for RGB-Based Category-Level Object Pose Estimation
https://github.com/longyuewangdcu/document-mt-llm
공식 코드Document-Level Machine Translation with Large Language Models
https://github.com/longyuewangdcu/guofeng-webnovel
공식 코드Findings of the WMT 2024 Shared Task on Discourse-Level Literary Translation
https://github.com/longyuewangdcu/tvsub
공식 코드Learning to Remember Translation History with a Continuous Cache
https://github.com/lorelupo/divide-and-rule
공식 코드Divide and Rule: Effective Pre-Training for Context-Aware Multi-Encoder Translation Models
https://github.com/lorelupo/focused-concat
공식 코드Focused Concatenation for Context-Aware Neural Machine Translation
https://github.com/louchao98/chap_amr_parser
공식 코드https://github.com/loulianzhang/dual-reflect
공식 코드https://github.com/lranaldii/crossalpaca
공식 코드https://github.com/ls4gan/benchmarking
공식 코드UVCGAN: UNet Vision Transformer cycle-consistent GAN for unpaired image-to-image translation
https://github.com/ls4gan/uvcgan
공식 코드UVCGAN: UNet Vision Transformer cycle-consistent GAN for unpaired image-to-image translation
https://github.com/ls4gan/uvcgan2
공식 코드UVCGAN v2: An Improved Cycle-Consistent GAN for Unpaired Image-to-Image Translation
https://github.com/lstappen/MuSe-Toolbox
공식 코드https://github.com/luciusssss/zhuangbench
공식 코드Teaching Large Language Models an Unseen Language on the Fly
https://github.com/luigisigillo/stawgan
공식 코드StawGAN: Structural-Aware Generative Adversarial Networks for Infrared Image Translation
https://github.com/lujiarui/str2str
공식 코드Str2Str: A Score-based Framework for Zero-shot Protein Conformation Sampling
https://github.com/lujiaying/gt-doc2graph
공식 코드Weakly Supervised Concept Map Generation through Task-Guided Graph Translation
https://github.com/lukun199/monopix
공식 코드https://github.com/lumia-group/distance_transformer
공식 코드Syntax-guided Localized Self-attention by Constituency Syntactic Distance
https://github.com/luosx18/biomedical-sentence-aligner
공식 코드Sentence Alignment with Parallel Documents Facilitates Biomedical Machine Translation
https://github.com/luxinyu1/trans-ss
공식 코드An Unsupervised Method for Building Sentence Simplification Corpora in Multiple Languages
https://github.com/lvapeab/ABiViRNet
공식 코드Video Description using Bidirectional Recurrent Neural Networks
https://github.com/lvapeab/interactive-keras-captioning
공식 코드A Neural, Interactive-predictive System for Multimodal Sequence to Sequence Tasks
https://github.com/lvapeab/nmt-keras
공식 코드https://github.com/lvapeab/sentence-selectioNN
공식 코드Neural Networks Classifier for Data Selection in Statistical Machine Translation
https://github.com/lyndonzheng/F-LSeSim
공식 코드The Spatially-Correlative Loss for Various Image Translation Tasks
https://github.com/lyndonzheng/Synthetic2Realistic
공식 코드T2Net: Synthetic-to-Realistic Translation for Solving Single-Image Depth Estimation Tasks
https://github.com/lynne-zheng-linfang/hs-pose
공식 코드HS-Pose: Hybrid Scope Feature Extraction for Category-level Object Pose Estimation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.