https://github.com/ShuweiShao/NDDepth
From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation
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/ShwetaBaranwal/Transformer
https://github.com/SimonDele/Glossary
Neural Machine Translation by Jointly Learning to Align and Translate
https://github.com/SimonThomine/DistillationAD
Anomaly Detection via Reverse Distillation from One-Class Embedding
https://github.com/SimonThomine/RememberingNormality
Anomaly Detection via Reverse Distillation from One-Class Embedding
https://github.com/Skumarr53/Attention-is-All-you-Need-PyTorch
https://github.com/SkyWa7ch3r/ImageSegmentation
https://github.com/SkyWa7ch3r/SceneSegmentation
https://github.com/SmallNana/GMAN_pytorch
GMAN: A Graph Multi-Attention Network for Traffic Prediction
https://github.com/SnailDev/github-hot-hub
https://github.com/SpikeKing/My-Bert
https://github.com/SpikeKing/mobilenet_v3
https://github.com/SsssSunhy/Tasnet-Mindspore-on-Librimix
TasNet: time-domain audio separation network for real-time, single-channel speech separation
https://github.com/StanfordVL/MinkowskiEngine
Generative Sparse Detection Networks for 3D Single-shot Object Detection
https://github.com/StanislavParovoy/VQ-VAE-WaveNet
https://github.com/StatNLP/joeynmt
https://github.com/SteffenEger/ocr_spelling_deuparl
A Large-Scale Comparison of Historical Text Normalization Systems
https://github.com/StevenLai1994/AM_and_LM
https://github.com/StijnVerdenius/Boosting_Text_Classifiers_by_Generative_Modelling
Classification by Re-generation: Towards Classification Based on Variational Inference
https://github.com/StoneGH/bert
https://github.com/StuartCHAN/KARL
https://github.com/SunDaDenny/DuLa-Net
DuLa-Net: A Dual-Projection Network for Estimating Room Layouts from a Single RGB Panorama
https://github.com/SunbowLiu/CopyingPenalty
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
https://github.com/SunghwanHong/Cost-Aggregation-transformers
https://github.com/SuryaKalia/AaltoVision
DeMoN: Depth and Motion Network for Learning Monocular Stereo
https://github.com/Sushmitha-Katti/DepthModel
High Quality Monocular Depth Estimation via Transfer Learning
https://github.com/Syarujianai/deeplab-commented
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
https://github.com/Syavaprd/mobilenet_v3
https://github.com/THUNLP-MT/Document-Transformer
Improving the Transformer Translation Model with Document-Level Context
https://github.com/THUNLP-MT/THUMT
Neural Machine Translation by Jointly Learning to Align and Translate
https://github.com/TSLNIHAOGIT/bert
https://github.com/TSLNIHAOGIT/bert_run
https://github.com/TTTTTTris/wandaplus
Wanda++: Pruning Large Language Models via Regional Gradients
https://github.com/TWJianNuo/EdgeDepth-Release
From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation
https://github.com/TYTYTYTYTYTYTYTYTY/558-project
https://github.com/TaatiTeam/STARS
STARS: Self-supervised Tuning for 3D Action Recognition in Skeleton Sequences
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.