https://github.com/marxav/oteann3
공식 코드OTEANN: Estimating the Transparency of Orthographies with an Artificial Neural Network
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/marzenakrp/demetr
공식 코드https://github.com/marzenakrp/literarytranslation
공식 코드https://github.com/marziehf/DataAugmentationNMT
공식 코드Data Augmentation for Low-Resource Neural Machine Translation
https://github.com/marziehf/IdiomTranslationDS
공식 코드Examining the Tip of the Iceberg: A Data Set for Idiom Translation
https://github.com/marziehf/variation-generation
공식 코드The Unreasonable Volatility of Neural Machine Translation Models
https://github.com/masakhane-io/afridoc-mt
공식 코드https://github.com/masakhane-io/lafand-mt
공식 코드https://github.com/masakhane-io/masakhane-mt
공식 코드Participatory Research for Low-resourced Machine Translation: A Case Study in African Languages
https://github.com/masoudjs/simalign
공식 코드https://github.com/matansel/pix2vertex
공식 코드Unrestricted Facial Geometry Reconstruction Using Image-to-Image Translation
https://github.com/matejulcar/slot5-tools
공식 코드Sequence to sequence pretraining for a less-resourced Slovenian language
https://github.com/mateussangalli/movingframenetwork
공식 코드https://github.com/matthieufp/commute
공식 코드Tackling Ambiguity with Images: Improved Multimodal Machine Translation and Contrastive Evaluation
https://github.com/matthieufp/vgamt
공식 코드Tackling Ambiguity with Images: Improved Multimodal Machine Translation and Contrastive Evaluation
https://github.com/matthieufp/zerommt
공식 코드https://github.com/mattiadg/SR-NMT
공식 코드https://github.com/mattylam/logic_symbolic_solvers_experiment
공식 코드A Closer Look at Logical Reasoning with LLMs: The Choice of Tool Matters
https://github.com/maxattezekbayev/alpha-relu
공식 코드https://github.com/maxwell1447/fairseq
공식 코드Towards Example-Based NMT with Multi-Levenshtein Transformers
https://github.com/maxylee/3am
공식 코드3AM: An Ambiguity-Aware Multi-Modal Machine Translation Dataset
https://github.com/may-/joeys2t
공식 코드https://github.com/mazurowski-lab/RaD
공식 코드Fréchet Radiomic Distance (FRD): A Versatile Metric for Comparing Medical Imaging Datasets
https://github.com/mazurowski-lab/medical-image-similarity-metrics
공식 코드Fréchet Radiomic Distance (FRD): A Versatile Metric for Comparing Medical Imaging Datasets
https://github.com/mbzuai-nlp/urdufactcheck
공식 코드UrduFactCheck: An Agentic Fact-Checking Framework for Urdu with Evidence Boosting and Benchmarking
https://github.com/mcgill-nlp/naija-representation-in-llms
공식 코드https://github.com/mchong6/GANsNRoses
공식 코드GANs N' Roses: Stable, Controllable, Diverse Image to Image Translation (works for videos too!)
https://github.com/mchong6/SOAT
공식 코드StyleGAN of All Trades: Image Manipulation with Only Pretrained StyleGAN
https://github.com/mcrl/CyCNN
공식 코드CyCNN: A Rotation Invariant CNN using Polar Mapping and Cylindrical Convolution Layers
https://github.com/mebrunet/understanding-bias
공식 코드https://github.com/meganndare/cantonese-nlp
공식 코드https://github.com/meghabyte/acl2021-education
공식 코드https://github.com/megvii-research/Arch-Net
공식 코드Arch-Net: Model Distillation for Architecture Agnostic Model Deployment
https://github.com/megvii-research/FINet
공식 코드FINet: Dual Branches Feature Interaction for Partial-to-Partial Point Cloud Registration
https://github.com/meinwerk/WordPrediction
공식 코드https://github.com/mengweiren/q-space-conditioned-dwi-synthesis
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.