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코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/LiqunChen0606/Graph-Optimal-Transport

공식 코드

Graph Optimal Transport for Cross-Domain Alignment

https://github.com/Liumouliu/PlueckerNet

공식 코드

PlueckerNet: Learn to Register 3D Line Reconstructions

https://github.com/LiyuanLucasLiu/RAdam

공식 코드

On the Variance of the Adaptive Learning Rate and Beyond

https://github.com/Lotemp/SarcasmSIGN

공식 코드

Sarcasm SIGN: Interpreting Sarcasm with Sentiment Based Monolingual Machine Translation

https://github.com/LvXudong-HIT/LCCNet

공식 코드

LCCNet: LiDAR and Camera Self-Calibration using Cost Volume Network

https://github.com/Lxiangyue/GenN2N

공식 코드

GenN2N: Generative NeRF2NeRF Translation

https://github.com/M3DV/AlignShift

공식 코드

Asymmetric 3D Context Fusion for Universal Lesion Detection

https://github.com/M4t1ss/ConfidenceThroughAttention

공식 코드

Confidence through Attention

https://github.com/M4t1ss/MWE-Tools

공식 코드

Paying Attention to Multi-Word Expressions in Neural Machine Translation

https://github.com/M4t1ss/SoftAlignments

공식 코드

Debugging Neural Machine Translations

https://github.com/M4t1ss/parallel-corpora-tools

공식 코드

Impact of Corpora Quality on Neural Machine Translation

https://github.com/MANGA-UOFA/M-DAT

공식 코드

Multilingual Non-Autoregressive Machine Translation without Knowledge Distillation

https://github.com/MICV-yonsei/CT2MRI

공식 코드

Slice-Consistent 3D Volumetric Brain CT-to-MRI Translation with 2D Brownian Bridge Diffusion Model

https://github.com/MIDA-group/MultiRegEval

공식 코드

Is Image-to-Image Translation the Panacea for Multimodal Image Registration? A Comparative Study

https://github.com/MILAB-IIT-CV/ATDN_vSLAM

공식 코드

ATDN vSLAM: An all-through Deep Learning-Based Solution for Visual Simultaneous Localization and Mapping

https://github.com/MIR-MU/pine

공식 코드

When FastText Pays Attention: Efficient Estimation of Word Representations using Constrained Positional Weighting

https://github.com/MIT-SPARK/TEASER-plusplus

공식 코드

TEASER: Fast and Certifiable Point Cloud Registration

https://github.com/MInner/lrmf

공식 코드

Log-Likelihood Ratio Minimizing Flows: Towards Robust and Quantifiable Neural Distribution Alignment

https://github.com/ML-GSAI/EGSDE

공식 코드

EGSDE: Unpaired Image-to-Image Translation via Energy-Guided Stochastic Differential Equations

https://github.com/Machine-Learning-Tokyo/Poetry-GAN

공식 코드

Creative GANs for generating poems, lyrics, and metaphors

https://github.com/Maluuba/nlg-eval

공식 코드

Relevance of Unsupervised Metrics in Task-Oriented Dialogue for Evaluating Natural Language Generation

https://github.com/Mandar-Sharma/TCube

공식 코드

TCube: Domain-Agnostic Neural Time-series Narration

https://github.com/Mao-KU/JASS

공식 코드

JASS: Japanese-specific Sequence to Sequence Pre-training for Neural Machine Translation

https://github.com/MarcoBerlot/Languages_for_Machine_Translation

공식 코드

Machine Translation with Cross-lingual Word Embeddings

https://github.com/MarkPKCollier/MANNs4NMT

공식 코드

Memory-Augmented Neural Networks for Machine Translation

https://github.com/MarvinLer/tcga_segmentation

공식 코드

Weakly supervised multiple instance learning histopathological tumor segmentation

https://github.com/MaverickPeter/MR_SLAM

공식 코드

RING++: Roto-translation Invariant Gram for Global Localization on a Sparse Scan Map

https://github.com/McGill-NLP/latent-translation

공식 코드

Modelling Latent Translations for Cross-Lingual Transfer

https://github.com/Medabid1/I2I-LR

공식 코드

Image-to-Image Translation with Low Resolution Conditioning

https://github.com/Meituan-AutoML/CPVT

공식 코드

Conditional Positional Encodings for Vision Transformers

https://github.com/MichalGeyer/plug-and-play

공식 코드

Plug-and-Play Diffusion Features for Text-Driven Image-to-Image Translation

https://github.com/MicrosoftTranslator/ToShipOrNotToShip

공식 코드

To Ship or Not to Ship: An Extensive Evaluation of Automatic Metrics for Machine Translation

https://github.com/MingyeXu/GS-Net

공식 코드

Geometry Sharing Network for 3D Point Cloud Classification and Segmentation

https://github.com/MingyuY/deformable-view-synthesis

공식 코드

Novel View Synthesis on Unpaired Data by Conditional Deformable Variational Auto-Encoder

https://github.com/MinhasKamal/BrailleToTextTranslator

공식 코드

Braille to Text Translation for Bengali Language: A Geometric Approach

https://github.com/MinkaiXu/RSL-NMT

공식 코드

Reciprocal Supervised Learning Improves Neural Machine Translation

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.