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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/lgraesser/im2im2im
공식 코드https://github.com/lhan87/hope
공식 코드https://github.com/liamdugan/speech-to-speech
공식 코드https://github.com/liaohaofu/adn
공식 코드Artifact Disentanglement Network for Unsupervised Metal Artifact Reduction
https://github.com/libeineu/Context-Aware
공식 코드Does Multi-Encoder Help? A Case Study on Context-Aware Neural Machine Translation
https://github.com/libeineu/GPKD
공식 코드Learning Light-Weight Translation Models from Deep Transformer
https://github.com/libeineu/SDT-Training
공식 코드https://github.com/libeineu/fairseq_mmt
공식 코드https://github.com/libeineu/ode-transformer
공식 코드ODE Transformer: An Ordinary Differential Equation-Inspired Model for Sequence Generation
https://github.com/lidan1/PhotoSketchMAN
공식 코드High-Quality Facial Photo-Sketch Synthesis Using Multi-Adversarial Networks
https://github.com/lifangda01/adaptivesupervisedpatchnce
공식 코드https://github.com/lifu-tu/ENGINE
공식 코드ENGINE: Energy-Based Inference Networks for Non-Autoregressive Machine Translation
https://github.com/lighteternal/PENELOPIE
공식 코드PENELOPIE: Enabling Open Information Extraction for the Greek Language through Machine Translation
https://github.com/lilachbarkat/morphgac-segmentation-gui
공식 코드Image translation of Ultrasound to Pseudo Anatomical Display by CycleGAN
https://github.com/lilin-hitcrt/SSC
공식 코드SSC: Semantic Scan Context for Large-Scale Place Recognition
https://github.com/lilt/tec
공식 코드https://github.com/lin-tan/CURE
공식 코드CURE: Code-Aware Neural Machine Translation for Automatic Program Repair
https://github.com/linghao-jin/canmt-challenges
공식 코드https://github.com/linjx-ustc1106/DosGAN-PyTorch
공식 코드https://github.com/linjx-ustc1106/MT-GAN-PyTorch
공식 코드https://github.com/linjx-ustc1106/TuiGAN-PyTorch
공식 코드TuiGAN: Learning Versatile Image-to-Image Translation with Two Unpaired Images
https://github.com/linjx-ustc1106/ZstGAN-PyTorch
공식 코드ZstGAN: An Adversarial Approach for Unsupervised Zero-Shot Image-to-Image Translation
https://github.com/linzehui/mRASP
공식 코드Pre-training Multilingual Neural Machine Translation by Leveraging Alignment Information
https://github.com/lioutasb/TaLKConvolutions
공식 코드https://github.com/lisasiyu/cross-align
공식 코드Cross-Align: Modeling Deep Cross-lingual Interactions for Word Alignment
https://github.com/lisasiyu/drtt
공식 코드https://github.com/lisaweijler/SE3Conv3D
공식 코드Efficient Continuous Group Convolutions for Local SE(3) Equivariance in 3D Point Clouds
https://github.com/lishuang-w/idiomkb
공식 코드https://github.com/litterbrother-xiao/overview-of-non-autoregressive-applications
공식 코드A Survey on Non-Autoregressive Generation for Neural Machine Translation and Beyond
https://github.com/littlewhitesea/360pant
공식 코드360PanT: Training-Free Text-Driven 360-Degree Panorama-to-Panorama Translation
https://github.com/liubc17/eDCNN_zero_padding
공식 코드Deep Convolutional Neural Networks with Zero-Padding: Feature Extraction and Learning
https://github.com/lium-lst/nmtpy
공식 코드NMTPY: A Flexible Toolkit for Advanced Neural Machine Translation Systems
https://github.com/lium-lst/wmt17-newstask
공식 코드LIUM Machine Translation Systems for WMT17 News Translation Task
https://github.com/liuxubo717/cl4ac
공식 코드https://github.com/liuxubo717/contrastive_loss_for_audio_captioning
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.