https://github.com/2023-MindSpore-4/Code11/tree/main/STGAN
STGAN: A Unified Selective Transfer Network for Arbitrary Image Attribute Editing
Papers with Code 아카이브
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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/2023-MindSpore-4/Code11/tree/main/retinanet_resnet152
R-FCN: Object Detection via Region-based Fully Convolutional Networks
https://github.com/2023-MindSpore-4/Code11/tree/main/rfcn
R-FCN: Object Detection via Region-based Fully Convolutional Networks
https://github.com/2023-MindSpore-4/Code11/tree/main/siamRPN
SiamRPN++: Evolution of Siamese Visual Tracking with Very Deep Networks
https://github.com/2023-MindSpore-4/Code12/tree/main/d2l/chapter_08_recurrent-neural-networks
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
https://github.com/2023-MindSpore-4/Code14/tree/main/SiamFC
SiamRPN++: Evolution of Siamese Visual Tracking with Very Deep Networks
https://github.com/2023-MindSpore-4/Code14/tree/main/rfcn
R-FCN: Object Detection via Region-based Fully Convolutional Networks
https://github.com/2023-MindSpore-4/Code14/tree/main/siamRPN
SiamRPN++: Evolution of Siamese Visual Tracking with Very Deep Networks
https://github.com/2023-MindSpore-4/Code7/tree/main/STGAN
STGAN: A Unified Selective Transfer Network for Arbitrary Image Attribute Editing
https://github.com/2023-MindSpore-4/Code7/tree/main/StarGAN
https://github.com/2023-MindSpore-4/Code8/tree/main/AttentionCluster
https://github.com/2024-MindSpore-1/Code2/tree/main/model-1/audio_spectrogram_transformer
https://github.com/2024-MindSpore-1/Code2/tree/main/model-1/bart
https://github.com/2024-MindSpore-1/Code2/tree/main/model-1/bert_generation
https://github.com/21-projects-for-deep-learning/image2text
Show and Tell: Lessons learned from the 2015 MSCOCO Image Captioning Challenge
https://github.com/23LuZ/the-Evaluation-of-ChitChat-System
https://github.com/28-08-2000/ImageCaptioning
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
https://github.com/2miatran/Natural-Language-Processing
https://github.com/30stomercury/Automatic_Speech_Recognition
https://github.com/5yearsKim/Feature-Subtraction-using-AE-GAN
Autoencoding beyond pixels using a learned similarity metric
https://github.com/771979972/Paddle_pSp
Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation
https://github.com/A-Jacobson/minimal-nmt
Neural Machine Translation by Jointly Learning to Align and Translate
https://github.com/A4Bio/ADesigner
Conditional Antibody Design as 3D Equivariant Graph Translation
https://github.com/ADGEfficiency/dsr_rl
https://github.com/AI-coder/SEQ2SEA
Massive Exploration of Neural Machine Translation Architectures
https://github.com/AIPHES/emnlp19-moverscore
MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover Distance
https://github.com/AKSW/NSpM
Exploring Sequence-to-Sequence Models for SPARQL Pattern Composition
https://github.com/AMNAALMGLY/NLP
Neural Machine Translation by Jointly Learning to Align and Translate
https://github.com/Aaatresh/Seeing-through-sound
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
https://github.com/AaltoML/view-aware-inference
https://github.com/AaltoVision/DGC-Net
https://github.com/AaltoVision/relativeCameraPose
Relative Camera Pose Estimation Using Convolutional Neural Networks
https://github.com/AaronCCWong/Show-Attend-and-Tell
Neural Machine Translation by Jointly Learning to Align and Translate
https://github.com/AbdelMahm/AI4D-MSL-app
Towards A Sign Language Gloss Representation Of Modern Standard Arabic
https://github.com/AbdelMahm/AI4D-data
Towards A Sign Language Gloss Representation Of Modern Standard Arabic
https://github.com/Abhaya1998/Self-Driving-Car
Virtual to Real Reinforcement Learning for Autonomous Driving
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.