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PyTorch Tutorial : Paper Implementation

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Pytorch Tutorial

Intro

[D] What deep learning papers should I implement to learn?에서 가져온 논문 리스트를 PyTorch 구현하는 연습 repo입니다.

현재 각 모델은 Google Colab 또는 Kaggle 커널을 사용하여 진행할 예정이며, 모델의 구현 과정은 강의로 후에 찍을 예정입니다.

Architectures

Title paper code reference
AlexNet paper
ZFNet paper
VGG16 paper
ResNet paper
GoogLeNet paper
Inception paper
Xception paper
MobileNet paper

Semantic Segmentation

Title paper code reference
FCN paper
SegNet paper
UNet paper
PSPNet paper
DeepLab paper
ICNet paper
ENet paper

Generative adversarial networks

Title paper code reference
GAN paper
DCGAN paper
WGAN paper
Pix2Pix paper
CycleGAN paper

Object detection

Title paper code reference
RCNN paper
Fast-RCNN paper
Faster-RCNN paper
SSD paper
YOLO paper
YOLO9000 paper

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PyTorch Tutorial : Paper Implementation