https://github.com/nvshrao/AlignAndTranslate
Neural Machine Translation by Jointly Learning to Align and Translate
Papers with Code 아카이브
NLP based Person Retrival
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/nvshrao/Bidirectional-Transformer
https://github.com/nyu-dl/dl4mt-c2c
A Character-Level Decoder without Explicit Segmentation for Neural Machine Translation
https://github.com/oadonca/ANVAE
https://github.com/oceanypt/A-DEEP-REINFORCED-MODEL-FOR-ABSTRACTIVE-SUMMARIZATION
https://github.com/ohosseini/DOCS-caffe
https://github.com/ohosseini/DOCS-pytorch
https://github.com/oikosohn/compound-loss-pytorch
https://github.com/okkteam/Transformer-Transducer
https://github.com/okn-yu/SegNet-A-Deep-Convolutional-Encoder-Decoder-Architecture-for-Image-Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
https://github.com/olddriverjinx/reimplemention-of-dual-prnet
https://github.com/olivesgatech/MS-UNIQUE
MS-UNIQUE: Multi-model and Sharpness-weighted Unsupervised Image Quality Estimation
https://github.com/olivesgatech/UNIQUE-Project-Repository
https://github.com/olivesgatech/UNIQUE-Unsupervised-Image-Quality-Estimation
https://github.com/olivia-fsm/p2mcq
https://github.com/ololo123321/maestro
https://github.com/oneTimePad/conv-nmt
https://github.com/oneflow-inc/libai
https://github.com/oneformer3d/oneformer3d
OneFormer3D: One Transformer for Unified Point Cloud Segmentation
https://github.com/oneil512/lstmn
https://github.com/open-edge-platform/geti
https://github.com/open-edge-platform/training_extensions
https://github.com/open-mmlab/mmclassification
https://github.com/open-mmlab/mmdetection
An Empirical Study of Spatial Attention Mechanisms in Deep Networks
https://github.com/open-mmlab/mmocr
NRTR: A No-Recurrence Sequence-to-Sequence Model For Scene Text Recognition
https://github.com/open-mmlab/mmpose
https://github.com/open-mmlab/mmsegmentation
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
https://github.com/open-mmlab/mmselfsup
https://github.com/openai/pixel-cnn
https://github.com/openbiolink/promptsource
Multitask Prompted Training Enables Zero-Shot Task Generalization
https://github.com/openbmb/bminf
CPM-2: Large-scale Cost-effective Pre-trained Language Models
https://github.com/openbmb/cpm-bee
Decoder Tuning: Efficient Language Understanding as Decoding
https://github.com/opendrivelab/elm
SRFormer: Text Detection Transformer with Incorporated Segmentation and Regression
https://github.com/opendrivelab/openscene
https://github.com/opendrivelab/univla
https://github.com/opengvlab/internimage
Uni-Perceiver v2: A Generalist Model for Large-Scale Vision and Vision-Language Tasks
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.