https://github.com/Ign0reLee/EMD_Neural_Style_Transfer_with_Tensorflow
A Unified Framework for Generalizable Style Transfer: Style and Content Separation
Papers with Code 아카이브
NLP based Person Retrival
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/IgnacioHeredia/plant_classification
https://github.com/IlyaGusev/summarus
https://github.com/Intoxillectual/Monocular-Depth-Estimation-using-DenseNet169
High Quality Monocular Depth Estimation via Transfer Learning
https://github.com/IpastorSan/seq2seq-with-attention-OCR-translation
Neural Machine Translation by Jointly Learning to Align and Translate
https://github.com/Irautak/FingerFlex
https://github.com/IrishCoffee/cudnnMultiHeadAttention
https://github.com/Ishan-Kumar2/Molecular_VAE_Pytorch
Automatic chemical design using a data-driven continuous representation of molecules
https://github.com/Iwontbecreative/Abstractive-summarization-OpenNMT
https://github.com/Izecson/saml-nmt
Neural Machine Translation by Jointly Learning to Align and Translate
https://github.com/Izecson/sockeye-1.16.6
Neural Machine Translation by Jointly Learning to Align and Translate
https://github.com/JJoving/SMLAT
https://github.com/JNUpython/bert
https://github.com/JRC1995/Abstractive-Summarization
Neural Machine Translation by Jointly Learning to Align and Translate
https://github.com/JRC1995/Machine-Translation-Transformers
https://github.com/JahnaviRamagiri/DenseDepth_1
High Quality Monocular Depth Estimation via Transfer Learning
https://github.com/JanAthmer/Compositional-generalization-capabillity-of-Transformer
https://github.com/JanMarcelKezmann/TensorFlow-Advanced-Segmentation-Models
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
https://github.com/Japanese-Image-Captioning/ORT-for-Japanese
https://github.com/JaywongWang/DenseVideoCaptioning
Bidirectional Attentive Fusion with Context Gating for Dense Video Captioning
https://github.com/JeheonPark596/sentimentsurvival
https://github.com/JeremyCCHsu/vae-npvc
Voice Conversion from Non-parallel Corpora Using Variational Auto-encoder
https://github.com/JeremyCCHsu/vae4vc
Voice Conversion from Non-parallel Corpora Using Variational Auto-encoder
https://github.com/JeremyFisher/few_shot_3dr
Few-Shot Single-View 3-D Object Reconstruction with Compositional Priors
https://github.com/JerryX1110/awesome-rvos
https://github.com/JiabenLi/gae_paddlepaddle
https://github.com/JiabenLi/rgcn_paddlepaddle
https://github.com/JianshuZhang/TAP
https://github.com/JianshuZhang/WAP
Multi-Scale Attention with Dense Encoder for Handwritten Mathematical Expression Recognition
https://github.com/JiaquanYe/TableMASTER-mmocr
MASTER: Multi-Aspect Non-local Network for Scene Text Recognition
https://github.com/JiaxiongQ/DeepLiDAR
https://github.com/JiaxuanYou/graph-generation
GraphVAE: Towards Generation of Small Graphs Using Variational Autoencoders
https://github.com/JimmyChame/SADNet
https://github.com/JinyongJeong/DeeplabV3_Apolloscape_and_CityScape
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
https://github.com/Jireh-Jam/R-MNET-A-Perceptual-Adversarial-Network-for-Image-Inpainting
R-MNet: A Perceptual Adversarial Network for Image Inpainting
https://github.com/JoegameZhou/STGAN
STGAN: A Unified Selective Transfer Network for Arbitrary Image Attribute Editing
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.