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

https://github.com/ofirpress/YouMayNotNeedAttention

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You May Not Need Attention

https://github.com/ohlionel/Prune-Tune

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Finding Sparse Structures for Domain Specific Neural Machine Translation

https://github.com/ojrlopez27/nl-service-composition

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NLSC: Unrestricted Natural Language-based Service Composition through Sentence Embeddings

https://github.com/omega-rs/cstn

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Cross-Domain Separable Translation Network for Multimodal Image Change Detection

https://github.com/omidkashefi/Mizan

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MIZAN: A Large Persian-English Parallel Corpus

https://github.com/onixhoque/sptransx-mlsys2025-reproduce

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SparseTransX: Efficient Training of Translation-Based Knowledge Graph Embeddings Using Sparse Matrix Operations

https://github.com/ood2iid/code

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Rethinking Machine Learning Robustness via its Link with the Out-of-Distribution Problem

https://github.com/open-speech-ekstep/indic-punct

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indic-punct: An automatic punctuation restoration and inverse text normalization framework for Indic languages

https://github.com/openaudiolab/llast

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LLaST: Improved End-to-end Speech Translation System Leveraged by Large Language Models

https://github.com/openvinotoolkit/training_extensions

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ASL Recognition with Metric-Learning based Lightweight Network

https://github.com/oplatek/reprohum-as-little-as-possible

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With a Little Help from the Authors: Reproducing Human Evaluation of an MT Error Detector

https://github.com/orangeinsouth/challengewmt

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Aligning Translation-Specific Understanding to General Understanding in Large Language Models

https://github.com/orangeinsouth/lssd

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Unifying the Convergences in Multilingual Neural Machine Translation

https://github.com/orangeinsouth/pareto-mutual-distillation

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Towards Higher Pareto Frontier in Multilingual Machine Translation

https://github.com/orevaahia/mc4lrnmt

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The Low-Resource Double Bind: An Empirical Study of Pruning for Low-Resource Machine Translation

https://github.com/orevaahia/yorulect

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Voices Unheard: NLP Resources and Models for Yorùbá Regional Dialects

https://github.com/orevaoghene/pidgin-baseline

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Towards Supervised and Unsupervised Neural Machine Translation Baselines for Nigerian Pidgin

https://github.com/orhir/3d-shape-consistent-gan

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Shape-consistent Generative Adversarial Networks for multi-modal Medical segmentation maps

https://github.com/orhir/shape-consistent-generative-adversarial-networks-for-multi-modal-medical-segmentation-maps

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Shape-consistent Generative Adversarial Networks for multi-modal Medical segmentation maps

https://github.com/orina1123/time-aware-ancient-text-translation

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Time-Aware Ancient Chinese Text Translation and Inference

https://github.com/orionw/multilingual-federated-learning

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Pretrained Models for Multilingual Federated Learning

https://github.com/orpatashnik/BalaGAN

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BalaGAN: Image Translation Between Imbalanced Domains via Cross-Modal Transfer

https://github.com/orrp/theory-of-umt

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A Theory of Unsupervised Translation Motivated by Understanding Animal Communication

https://github.com/oshapio/Localized-CNNs-for-Geospatial-Wind-Forecasting

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Localized convolutional neural networks for geospatial wind forecasting

https://github.com/oskyhn/CNNs-Without-Borders

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On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial Location

https://github.com/osu-starlab/beavertalk

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BeaverTalk: Oregon State University's IWSLT 2025 Simultaneous Speech Translation System

https://github.com/osu-starlab/implicitmemory

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Implicit Memory Transformer for Computationally Efficient Simultaneous Speech Translation

https://github.com/osu-starlab/shiftablecontext

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Shiftable Context: Addressing Training-Inference Context Mismatch in Simultaneous Speech Translation

https://github.com/osu-starlab/simul-llm

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Simultaneous Masking, Not Prompting Optimization: A Paradigm Shift in Fine-tuning LLMs for Simultaneous Translation

https://github.com/otsha/questionnaires-for-everyone

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Questionnaires for Everyone: Streamlining Cross-Cultural Questionnaire Adaptation with GPT-Based Translation Quality Evaluation

https://github.com/owaski/must-c-clean

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On the Impact of Noises in Crowd-Sourced Data for Speech Translation

https://github.com/owaski/waco

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WACO: Word-Aligned Contrastive Learning for Speech Translation

https://github.com/owennju/ink

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INK: Injecting kNN Knowledge in Nearest Neighbor Machine Translation

https://github.com/owennju/mmt-llm

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Multilingual Machine Translation with Large Language Models: Empirical Results and Analysis

https://github.com/owennju/x-llm

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Extrapolating Large Language Models to Non-English by Aligning Languages

https://github.com/ownstyledu/Translate-to-Recognize-Networks

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Translate-to-Recognize Networks for RGB-D Scene Recognition

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