Papers with Code 아카이브
NLP based Person Retrival
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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/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/Code12/tree/main/d2l/chapter_09_recurrent-modern
Full Resolution Image Compression with Recurrent Neural Networks
https://github.com/2023-MindSpore-4/Code12/tree/main/liliang/ssa
Unsupervised Coherent Video Cartoonization with Perceptual Motion Consistency
https://github.com/2023-MindSpore-4/Code14/tree/main/Segformer
SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers
https://github.com/2023-MindSpore-4/Code14/tree/main/resnet3d
The NPU-ASLP-LiAuto System Description for Visual Speech Recognition in CNVSRC 2023
https://github.com/2023-MindSpore-4/Code3/tree/main/detr
DN-DETR: Accelerate DETR Training by Introducing Query DeNoising
https://github.com/2023-MindSpore-4/Code3/tree/main/dpn
DeepLung: Deep 3D Dual Path Nets for Automated Pulmonary Nodule Detection and Classification
https://github.com/2023-MindSpore-4/Code6/tree/main/REDNet30
RedNet: Residual Encoder-Decoder Network for indoor RGB-D Semantic Segmentation
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/ssd_inception_v2
Deep Koalarization: Image Colorization using CNNs and Inception-ResNet-v2
https://github.com/2023-MindSpore-4/Code8/tree/main/AdaBin
https://github.com/2023-MindSpore-4/Code8/tree/main/AttentionCluster
https://github.com/2023-MindSpore-4/Code8/tree/main/advanced_east
DeepSpeed-MoE: Advancing Mixture-of-Experts Inference and Training to Power Next-Generation AI Scale
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/bloom
BLOOM: A 176B-Parameter Open-Access Multilingual Language Model
https://github.com/2024-MindSpore-1/Code2/tree/main/model-1/clipseg
https://github.com/2024-MindSpore-1/Code2/tree/main/model-1/cohere
https://github.com/2024-MindSpore-1/Code2/tree/main/model-1/detr
https://github.com/2024-MindSpore-1/Code3/tree/main/CAN
When Counting Meets HMER: Counting-Aware Network for Handwritten Mathematical Expression Recognition
https://github.com/2024-MindSpore-1/Code3/tree/main/PGNet
PGNet: Real-time Arbitrarily-Shaped Text Spotting with Point Gathering Network
https://github.com/2024-MindSpore-1/Code4/tree/main/MobileNet/mobilenetv3
https://github.com/2024-MindSpore-1/Code4/tree/main/OCRNet
Segmentation Transformer: Object-Contextual Representations for Semantic Segmentation
https://github.com/2024-MindSpore-1/Code5/tree/main/AdaBin
https://github.com/2024-MindSpore-1/Code6/tree/main/AdaBin
https://github.com/2024-MindSpore-1/Code7/tree/main/crnn_seq2seq_ocr
https://github.com/2miatran/Natural-Language-Processing
https://github.com/30stomercury/Automatic_Speech_Recognition
https://github.com/59Kkk/pytorch_Ucolor_lcy
Underwater Image Enhancement via Medium Transmission-Guided Multi-Color Space Embedding
https://github.com/674106399/JointBoneLoss
Weakly-Supervised Mesh-Convolutional Hand Reconstruction in the Wild
https://github.com/89viper/Python-Deep_Video_Inpainting
https://github.com/920232796/setr-pytorch
Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers
https://github.com/A-Jacobson/minimal-nmt
Neural Machine Translation by Jointly Learning to Align and Translate
https://github.com/ACheun9/Pytorch-implementation-of-Mobile-Former
https://github.com/AIResearchHub/transformergallery
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.