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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
꼼꼼한 딥러닝 논문 리뷰와 코드 실습
| Date | Stars |
|---|---|
| 2026-07-31 | 1164 |
| 2026-08-06 | 1164 |
Today
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This week
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growth rate 0.00%/day
### 꼼꼼한 딥러닝 논문 리뷰와 코드 실습: Deep Learning Paper Review and Practice
* 꼼꼼한 딥러닝 논문 리뷰와 코드 실습을 위한 저장소입니다.
* 최신 논문 위주로, 많은 인기를 끌고 있는 다양한 딥러닝 논문을 소개합니다.
* 질문 사항은 본 저장소의 <b>[이슈(Issues)](https://github.com/ndb796/Deep-Learning-Paper-Review-and-Practice/issues)</b> 탭에 남겨주세요.
#### Image Recognition (이미지 인식)
* End-to-End Object Detection with Transformers (ECCV 2020)
* [Original Paper Link](https://arxiv.org/abs/2005.12872) / [Paper Review Video](https://www.youtube.com/watch?v=hCWUTvVrG7E) / [Summary PDF](/lecture_notes/DETR.pdf) / Code Practice
* Searching for MobileNetV3 (ICCV 2019)
* [Original Paper Link](https://arxiv.org/abs/1905.02244) / Paper Review Video / Summary PDF / Code Practice
* Deep Residual Learning for Image Recognition (CVPR 2016)
* [Original Paper Link](https://arxiv.org/abs/1512.03385) / [Paper Review Video](https://www.youtube.com/watch?v=671BsKl8d0E) / [Summary PDF](/lecture_notes/ResNet.pdf) / [MNIST](/code_practices/ResNet18_MNIST_Train.ipynb) / [CIFAR-10](/code_practices/ResNet18_CIFAR10_Train.ipynb) / [ImageNet](/code_practices/Pretrained_ResNet18_ImageNet_Test.ipynb)
* Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization (ICCV 2017)
* [Original Paper Link](https://arxiv.org/abs/1703.06868) / [Paper Review Video](https://www.youtube.com/watch?v=OM-6zYYRYfg) / [Summary PDF](/lecture_notes/AdaIN_Style_Transfer.pdf) / [Code Practice](/code_practices/AdaIN_Style_Transfer_Tutorial.ipynb)
* Image Style Transfer Using Convolutional Neural Networks (CVPR 2016)
* [Original Paper Link](https://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Gatys_Image_Style_Transfer_CVPR_2016_paper.pdf) / [Paper Review Video](https://www.youtube.com/watch?v=va3e2c4uKJk) / [Summary PDF](/lecture_notes/Style%20Transfer.pdf) / [Code Practice](/code_practices/Style_Transfer_Tutorial.ipynb)
* Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks (NIPS 2015)
* [Original Paper Link](https://arxiv.org/abs/1506.01497) / Paper Review Video / [Summary PDF](/lecture_notes/Faster_R-CNN.pdf) / Code Practice
#### Natural Language Processing (자연어 처리)
* Single Headed Attention RNN: Stop Thinking With Your Head (2020)
* [Original Paper Link](https://arxiv.org/abs/1911.11423) / Paper Review Video / Summary PDF / Code Practice
* BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (NAACL 2019)
* [Original Paper Link](https://arxiv.org/abs/1810.04805) / Paper Review Video / Summary PDF / Code Practice
* Attention is All You Need (NIPS 2017)
* [Original Paper Link](https://arxiv.org/abs/1706.03762) / [Paper Review Video](https://www.youtube.com/watch?v=AA621UofTUA) / [Summary PDF](/lecture_notes/Transformer.pdf) / [Code Practice](/code_practices/Attention_is_All_You_Need_Tutorial_(German_English).ipynb)
* Neural Machine Translation by Jointly Learning to Align and Translate (ICLR 2015 Oral)
* [Original Paper Link](https://arxiv.org/abs/1409.0473) / Paper Review Video / Summary PDF / [Code Practice](/code_practices/Sequence_to_Sequence_with_Attention_Tutorial.ipynb)
* Show and Tell: A Neural Image Caption Generator (CVPR 2015)
* [Original Paper Link](https://arxiv.org/abs/1411.4555) / Paper Review Video / Summary PDF / [Code Practice](/code_practices/Neural_Image_Captioning_(NIC)_Using_ResNet_101.ipynb)
* Sequence to Sequence Learning with Neural Networks (NIPS 2014)
* [Original Paper Link](https://arxiv.org/abs/1409.3215) / [Paper Review Video](https://www.youtube.com/watch?v=4DzKM0vgG1Y) / [Summary PDF](/lecture_notes/Seq2Seq.pdf) / [Code Practice](/code_practices/Sequence_to_Sequence_with_LSTM_Tutorial.ipynb)
#### Generative Model & Super Resolution (생성 모델 & 해상도 복원)
* Meta-Transfer Learning for Zero-Shot Super-Resolution (CVPR 2020)
* [Original Paper Link](https://arxiv.org/abs/2002.12213) / [Paper Review Video](https://www.youtube.com/watch?v=PUtFz4vqXHQ) / [Summary PDF](/lecture_notes/MZSR.pdf) / Code Practice
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:9fced7a7ad389a91, topic:deep-learning