https://github.com/l0stpenguin/DenseDepthResNet
High Quality Monocular Depth Estimation via Transfer Learning
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/la-serene/English-German-Translation-System
Neural Machine Translation by Jointly Learning to Align and Translate
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/laion-ai/conditioned-prior
Hierarchical Text-Conditional Image Generation with CLIP Latents
https://github.com/lairning/vrp-drl
https://github.com/lakshjaisinghani/pseudo-lidar-pipeline
From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation
https://github.com/lakshjaisinghani/pseudo-lidar-ros-pipeline
From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation
https://github.com/lanPN85/HarDNet-MSEG
https://github.com/lancopku/SACT
https://github.com/laramaktub/plant-classification-tf-train
https://github.com/larsbentsen/fftransformer
Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting
https://github.com/lartpang/HDFNet
Multi-modal Bifurcated Network for Depth Guided Image Relighting
https://github.com/laserene/English-German-Translation-System
Neural Machine Translation by Jointly Learning to Align and Translate
https://github.com/lattice-ai/DeepLabV3-Plus
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
https://github.com/lawrencerliu/nowag
QTIP: Quantization with Trellises and Incoherence Processing
https://github.com/ldulcic/chatbot
Neural Machine Translation by Jointly Learning to Align and Translate
https://github.com/leaplabthu/efficienttrain
https://github.com/learnpcclaimsapp/WAP-SAMPLE
Multi-Scale Attention with Dense Encoder for Handwritten Mathematical Expression Recognition
https://github.com/lee-zq/VesselSeg-Pytorch
LadderNet: Multi-path networks based on U-Net for medical image segmentation
https://github.com/leehyunjun-seoultech/seoultech
https://github.com/leejieun51/transformer
https://github.com/leffff/vgae-pytorch
https://github.com/lehinevych/SAAN
https://github.com/lehoanganh298/BERT-Question-Answering
https://github.com/leiluk1/codesearcher
CodeT5+: Open Code Large Language Models for Code Understanding and Generation
https://github.com/leimao/DeepLab-V3
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
https://github.com/leimao/DeepLab_v3
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
https://github.com/lemon-liley/isabella
High Quality Monocular Depth Estimation via Transfer Learning
https://github.com/lenacabrera/gb_mnmt
https://github.com/lennonzurich/lalala
https://github.com/leob03/Image_captionning
Neural Machine Translation by Jointly Learning to Align and Translate
https://github.com/leondgarse/keras_cv_attention_models/tree/main/keras_cv_attention_models/gpvit
GPViT: A High Resolution Non-Hierarchical Vision Transformer with Group Propagation
https://github.com/leonwlw/wenet
WeNet 2.0: More Productive End-to-End Speech Recognition Toolkit
https://github.com/leshanbog/lasertagger
https://github.com/lesterpjy/numeric-t5
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.