https://github.com/la-serene/English-German-Translation-System
Neural Machine Translation by Jointly Learning to Align and Translate
Papers with Code 아카이브
Translation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
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- 평가표
- 4
- 보존된 평가 기록
- 5
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/labbeti/aac-datasets
https://github.com/labdac/charlacompling
Neural Machine Translation by Jointly Learning to Align and Translate
https://github.com/labmlai/annotated_deep_learning_paper_implementations
https://github.com/laclark/cuneiform_lineart
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/lalithjets/surgical_vqa
ResMLP: Feedforward networks for image classification with data-efficient training
https://github.com/lancopku/Prime
MUSE: Parallel Multi-Scale Attention for Sequence to Sequence Learning
https://github.com/lancopku/SACT
https://github.com/laniqo-public/grammar-data-mtsummit25
https://github.com/lanwuwei/SPM_toolkit
https://github.com/laraolmos/madrid-nlp-meetup
SemEval-2017 Task 1: Semantic Textual Similarity - Multilingual and Cross-lingual Focused Evaluation
https://github.com/laserene/English-German-Translation-System
Neural Machine Translation by Jointly Learning to Align and Translate
https://github.com/lasithaya/yolact
https://github.com/ldulcic/chatbot
Neural Machine Translation by Jointly Learning to Align and Translate
https://github.com/leaderj1001/Bag-of-MLP
ResMLP: Feedforward networks for image classification with data-efficient training
https://github.com/leduckhai/Global-Wheat-Detection-Kaggle
MultiMed-ST: Large-scale Many-to-many Multilingual Medical Speech Translation
https://github.com/leehomyc/cyclegan-1
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/leehyunjun-seoultech/seoultech
https://github.com/leejieun51/transformer
https://github.com/leemathew1998/GradientWeight
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/leemathew1998/RG
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/leenajyotishi/objectdetectionstuff
https://github.com/leffff/FlowModels
Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow
https://github.com/leffff/flow-matching-experiments
Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow
https://github.com/lehinevych/SAAN
https://github.com/lehoanganh298/BERT-Question-Answering
https://github.com/lennonzurich/lalala
https://github.com/leoHeidel/vae-gan-tf2
Autoencoding beyond pixels using a learned similarity metric
https://github.com/leob03/Image_captionning
Neural Machine Translation by Jointly Learning to Align and Translate
https://github.com/leofanzeres/s2i
Sound-to-imagination: Unsupervised cross- modal translation using deep dense network architecture.
https://github.com/leohsuofnthu/Tensorflow-YOLACT
https://github.com/leondgarse/keras_cv_attention_models/tree/main/keras_cv_attention_models/mlp_family
ResMLP: Feedforward networks for image classification with data-efficient training
https://github.com/leongkhing/stnbhwd
https://github.com/lh-wang/ACC
Virtual to Real Reinforcement Learning for Autonomous Driving
https://github.com/libeineu/mmt-vqa
https://github.com/libertfan/man
Mask Attention Networks: Rethinking and Strengthen Transformer
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.