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코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/gcr/torch-residual-networks

Deep Residual Learning for Image Recognition

https://github.com/gcwl/pytorch-cyclegan

Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

https://github.com/gcwl/pytorch-pix2pix

Image-to-Image Translation with Conditional Adversarial Networks

https://github.com/gentlezhu/shift-robust-gnns

Domain-Adversarial Training of Neural Networks

https://github.com/georg-wolflein/hoechstgan

Image-to-Image Translation with Conditional Adversarial Networks

https://github.com/gerardoglz/GANs

Image-to-Image Translation with Conditional Adversarial Networks

https://github.com/ginn24/RefineDet-1

Very Deep Convolutional Networks for Large-Scale Image Recognition

https://github.com/gitlimlab/Representation-Learning-by-Learning-to-Count

Very Deep Convolutional Networks for Large-Scale Image Recognition

https://github.com/glouppe/info8010-deep-learning

Deep Residual Learning for Image Recognition

https://github.com/godwinrayanc/YOLOv1-Pytorch

Deep Residual Learning for Image Recognition

https://github.com/google/flax/tree/master/examples/imagenet

Deep Residual Learning for Image Recognition

https://github.com/gopi-kampli/ImageClusteringDL

Very Deep Convolutional Networks for Large-Scale Image Recognition

https://github.com/gpleiss/limits_of_large_width

Deep Residual Learning for Image Recognition

https://github.com/gpspelle/Crowd-Counting

Very Deep Convolutional Networks for Large-Scale Image Recognition

https://github.com/greatsharma/DeepLearning-Papers-Implementation

Deep Residual Learning for Image Recognition

https://github.com/griffinbran/machines_best_friend

Very Deep Convolutional Networks for Large-Scale Image Recognition

https://github.com/gundeep15/SCD_AI_Project

Deep Residual Learning for Image Recognition

https://github.com/gunpowder1473/CycleGan_Tensorflow

Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

https://github.com/gunpowder1473/CycyleGan_Tensorflow

Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

https://github.com/guptag22/uic-cs512-project

Invertible Conditional GANs for image editing

https://github.com/gurkirt/realtime-action-detection

Very Deep Convolutional Networks for Large-Scale Image Recognition

https://github.com/guy-oren/DIRT-OST

Diverse Image-to-Image Translation via Disentangled Representations

https://github.com/guy-oren/OneShotTranslationExt

One-Shot Unsupervised Cross Domain Translation

https://github.com/haaz77/keras-tutorials

Very Deep Convolutional Networks for Large-Scale Image Recognition

https://github.com/hahahappyboy/GANForCartoon

Image-to-Image Translation with Conditional Adversarial Networks

https://github.com/hanq0212/IIAE-Pytorch

Variational Interaction Information Maximization for Cross-domain Disentanglement

https://github.com/hansam95/nmg

Zero-shot Image-to-Image Translation

https://github.com/hanzhaoml/mdan

Unsupervised Domain Adaptation by Backpropagation

https://github.com/hao-qiang/GANimation-tf

GANimation: Anatomically-aware Facial Animation from a Single Image

https://github.com/haonanguo/remote-sensing-chatgpt

Deep Residual Learning for Image Recognition

https://github.com/happen2me/adda_pytorch

Adversarial Discriminative Domain Adaptation

https://github.com/happy-jihye/Cartoon-StyleGAN

Fine-Tuning StyleGAN2 For Cartoon Face Generation

https://github.com/haratzouvara/image_restoration

Image-to-Image Translation with Conditional Adversarial Networks

https://github.com/hariv/pix2pix

Image-to-Image Translation with Conditional Adversarial Networks

https://github.com/harsh-99/SCL

Domain Adaptive Faster R-CNN for Object Detection in the Wild

https://github.com/harshitbhushan68/Pix-2-Pix

Image-to-Image Translation with Conditional Adversarial Networks

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.