https://github.com/mindspore-ai/models/tree/master/official/nlp/mass
MASS: Masked Sequence to Sequence Pre-training for Language Generation
Papers with Code 아카이브
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/mindspore-ai/models/tree/master/official/nlp/transformer
https://github.com/mindspore-ai/models/tree/master/research/cv/CycleGAN
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/mindspore-ai/models/tree/master/research/cv/STGAN
STGAN: A Unified Selective Transfer Network for Arbitrary Image Attribute Editing
https://github.com/mindspore-ai/models/tree/master/research/cv/StarGAN
StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation
https://github.com/mindspore-ai/models/tree/master/research/cv/TCN
An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling
https://github.com/mindspore-ai/models/tree/master/research/cv/U-GAT-IT
https://github.com/mindspore-courses/Deep-Tutorials-for-MindSpore
https://github.com/mindspore-courses/DeepNLP-models-MindSpore
Neural Machine Translation by Jointly Learning to Align and Translate
https://github.com/mindspore-courses/External-Attention-MindSpore/blob/main/model/attention/SelfAttention.py
https://github.com/mindspore-courses/heads-on-mindspore/tree/main/5-image_caption
https://github.com/ming024/FastSpeech2
https://github.com/mingu600/compositional_code_learning
Compressing Word Embeddings via Deep Compositional Code Learning
https://github.com/minhcongnguyen1508/Tool_preprocess_NLP
Effective Strategies in Zero-Shot Neural Machine Translation
https://github.com/miniii222/Graduate-Paper
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
https://github.com/minoring/spatial-transformer-net
https://github.com/minyoungg/GAN-Transform-and-Project
Transforming and Projecting Images into Class-conditional Generative Networks
https://github.com/mirbostani/QA-KD-AL
QANet: Combining Local Convolution with Global Self-Attention for Reading Comprehension
https://github.com/misuy/misuy_style_transfer_bot
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/mit-spark/kiss-matcher
https://github.com/mit-spark/pace
Optimal Pose and Shape Estimation for Category-level 3D Object Perception
https://github.com/mithunpaul08/bert_tensorflow
https://github.com/mitjanikolaus/compositional-image-captioning
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
https://github.com/mitran27/Attention-is-all-you-Need
https://github.com/miyamankyushu/DCGAN
https://github.com/mjpost/sacreBLEU
https://github.com/mkocabas/CoordConv-pytorch
An Intriguing Failing of Convolutional Neural Networks and the CoordConv Solution
https://github.com/mkolodny/funit
https://github.com/ml4its/latent-diffusion-model-for-conditional-reservoir-facies-generation
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/mlandcv/MultiPathGAN
StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation
https://github.com/mlatsjsu/PDFextract
HAT: Hardware-Aware Transformers for Efficient Natural Language Processing
https://github.com/mlb2251/stitch
Identifying concept libraries from language about object structure
https://github.com/mlcommons/submissions_algorithms
https://github.com/mlvc-lab/CycleGan_pytorch
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/mng827/curve-gcn-cardiac-mr
An Intriguing Failing of Convolutional Neural Networks and the CoordConv Solution
https://github.com/mnhng/hier-char-emb
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.