https://github.com/DeepLearnXMU/ABD-NMT
공식 코드Asynchronous Bidirectional Decoding for Neural Machine Translation
Papers with Code 아카이브
NLP based Person Retrival
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/DeepLearnXMU/MM-DCCN
공식 코드Dynamic Context-guided Capsule Network for Multimodal Machine Translation
https://github.com/DeepLearnXMU/VNMT
공식 코드https://github.com/DeepMC-DCVC/DCVC
공식 코드https://github.com/DengPingFan/Polyp-PVT
공식 코드Polyp-PVT: Polyp Segmentation with Pyramid Vision Transformers
https://github.com/DengPingFan/PraNet
공식 코드PraNet: Parallel Reverse Attention Network for Polyp Segmentation
https://github.com/DepthAnything/PromptDA
공식 코드Prompting Depth Anything for 4K Resolution Accurate Metric Depth Estimation
https://github.com/DerrickWang005/CRIS.pytorch
공식 코드https://github.com/Devin-Egber/UV-Mamba
공식 코드https://github.com/DevinJake/NS-CQA
공식 코드Less is More: Data-Efficient Complex Question Answering over Knowledge Bases
https://github.com/DonsetPG/graph-physics
공식 코드MeshMask: Physics-Based Simulations with Masked Graph Neural Networks
https://github.com/DoodleJZ/HPSG-Neural-Parser
공식 코드Head-Driven Phrase Structure Grammar Parsing on Penn Treebank
https://github.com/EIDOSLAB/Efficient-PIC-with-Variance-Aware-Masking
공식 코드Efficient Progressive Image Compression with Variance-aware Masking
https://github.com/EagleW/Multimedia-Generative-Script-Learning-for-Task-Planning
공식 코드https://github.com/EdinburghNLP/nematus
공식 코드https://github.com/EdinburghNLP/wikigen
공식 코드https://github.com/Edward-Sun/SLM
공식 코드Unsupervised Neural Word Segmentation for Chinese via Segmental Language Modeling
https://github.com/EdwinYam/J-Net
공식 코드https://github.com/EmmanuelleB985/Head-and-Neck-Tumour-Segmentation-and-Prediction-of-Patient-Survival
공식 코드https://github.com/Ereboas/TacoLM
공식 코드https://github.com/ErgastiAlex/U-Shape-Mamba
공식 코드https://github.com/EriCongMa/MTKD_TIMT
공식 코드Multi-Teacher Knowledge Distillation For Text Image Machine Translation
https://github.com/Evan-Gao/Distractor-Generation-RACE
공식 코드Generating Distractors for Reading Comprehension Questions from Real Examinations
https://github.com/FDemelas/Learning_Lagrangian_Multipliers.jl
공식 코드Predicting Accurate Lagrangian Multipliers for Mixed Integer Linear Programs
https://github.com/FFrankyy/DrBC
공식 코드https://github.com/Fabio-Gil-Z/IRUNet
공식 코드Blind microscopy image denoising with a deep residual and multiscale encoder/decoder network
https://github.com/FactoDeepLearning/VerticalAttentionOCR
공식 코드End-to-end Handwritten Paragraph Text Recognition Using a Vertical Attention Network
https://github.com/FaiyazKhan11/Improved-Bengali-Image-Captioning-via-deep-convolutional-neural-network-based-encoder-decoder-model
공식 코드Improved Bengali Image Captioning via deep convolutional neural network based encoder-decoder model
https://github.com/FengheTan9/Multi-Level-Global-Context-Cross-Consistency
공식 코드https://github.com/FengleiFan/QAE
공식 코드https://github.com/FluidMechanicsInta/Towards-aerodynamic-surrogate-modeling-based-on-beta-variational-autoencoders
공식 코드Towards aerodynamic surrogate modeling based on $β$-variational autoencoders
https://github.com/Fluidic-City-Lab/AutoJoin
공식 코드https://github.com/FranxYao/Deep-Generative-Models-for-Natural-Language-Processing
공식 코드https://github.com/FranxYao/Gumbel-CRF
공식 코드https://github.com/FranxYao/dgm_latent_bow
공식 코드https://github.com/Friger/HighAir
공식 코드HighAir: A Hierarchical Graph Neural Network-Based Air Quality Forecasting Method
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.