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update readmes, added pix2pix
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@@ -17,13 +17,15 @@ The dataset can be downloaded from Kaggle: [link](https://www.kaggle.com/vikramt
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The dataset can be downloaded from Kaggle: [link](https://www.kaggle.com/ktaebum/anime-sketch-colorization-pair).
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### Download pretrained weights
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Pretrained weights for Satellite image to Google Map [here](https://github.com/aladdinpersson/Machine-Learning-Collection/releases/download/1.0/Pix2Pix_Weights_Satellite_to_Map.zip)
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Pretrained weights for Colorizing Anime [here](https://github.com/aladdinpersson/Machine-Learning-Collection/releases/download/1.0/Pix2Pix_Weights_Colorize_Anime.zip)
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Pretrained weights for Satellite image to Google Map [here](https://github.com/aladdinpersson/Machine-Learning-Collection/releases/download/1.0/Pix2Pix_Weights_Satellite_to_Map.zip).
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Pretrained weights for Colorizing Anime [here](https://github.com/aladdinpersson/Machine-Learning-Collection/releases/download/1.0/Pix2Pix_Weights_Colorize_Anime.zip).
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Extract the zip file and put the pth.tar files in the directory with all the python files. Make sure you put LOAD_MODEL=True in the config.py file.
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### Training
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Edit the config.py file to match the setup you want to use. Then run train.py
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## Pix2Pix paper
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### Image-to-Image Translation with Conditional Adversarial Networks by Phillip Isola, Jun-Yan Zhu, Tinghui Zhou, Alexei A. Efros
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@@ -71,14 +71,18 @@ If you have any specific video suggestion please make a comment on YouTube :)
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* [![Youtube Link][logo]](https://youtu.be/XXYG5ZWtjj0) [Intersection over Union](https://github.com/aladdinpersson/Machine-Learning-Collection/blob/master/ML/Pytorch/object_detection/metrics/iou.py)
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* [![Youtube Link][logo]](https://youtu.be/YDkjWEN8jNA) [Non-Max Suppression](https://github.com/aladdinpersson/Machine-Learning-Collection/blob/master/ML/Pytorch/object_detection/metrics/nms.py)
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* [![Youtube Link][logo]](https://youtu.be/FppOzcDvaDI) [Mean Average Precision](https://github.com/aladdinpersson/Machine-Learning-Collection/blob/master/ML/Pytorch/object_detection/metrics/mean_avg_precision.py)
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* [![Youtube Link][logo]](https://youtu.be/n9_XyCGr-MI) [YOLO from scratch](https://github.com/aladdinpersson/Machine-Learning-Collection/blob/master/ML/Pytorch/object_detection/YOLO)
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* [![Youtube Link][logo]](https://youtu.be/n9_XyCGr-MI) [YOLOv1 from scratch](https://github.com/aladdinpersson/Machine-Learning-Collection/blob/master/ML/Pytorch/object_detection/YOLO)
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* [![Youtube Link][logo]](https://youtu.be/Grir6TZbc1M) [YOLOv3 from scratch](https://github.com/aladdinpersson/Machine-Learning-Collection/tree/master/ML/Pytorch/object_detection/YOLOv3)
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### Generative Adversarial Networks
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* [![Youtube Link][logo]](https://youtu.be/OljTVUVzPpM) [Simple FC GAN](https://github.com/aladdinpersson/Machine-Learning-Collection/blob/master/ML/Pytorch/GANs/1.%20SimpleGAN/fc_gan.py)
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* [![Youtube Link][logo]](https://youtu.be/IZtv9s_Wx9I) [DCGAN](https://github.com/aladdinpersson/Machine-Learning-Collection/tree/master/ML/Pytorch/GANs/2.%20DCGAN)
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* [![Youtube Link][logo]](https://youtu.be/pG0QZ7OddX4) [WGAN](https://github.com/aladdinpersson/Machine-Learning-Collection/tree/master/ML/Pytorch/GANs/3.%20WGAN)
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* [![Youtube Link][logo]](https://youtu.be/pG0QZ7OddX4) [WGAN-GP](https://github.com/aladdinpersson/Machine-Learning-Collection/tree/master/ML/Pytorch/GANs/4.%20WGAN-GP)
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* [ProGAN (video coming soon)](https://github.com/aladdinpersson/Machine-Learning-Collection/tree/master/ML/Pytorch/GANs/5.%20ProGAN)
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* [![Youtube Link][logo]](https://youtu.be/SuddDSqGRzg) [Pix2Pix](https://github.com/aladdinpersson/Machine-Learning-Collection/tree/master/ML/Pytorch/GANs/4.%20WGAN-GP)
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* [![Youtube Link][logo]]() [CycleGAN (coming soon)]()
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* [![Youtube Link][logo]]() [SRGAN(coming soon)]()
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* [![Youtube Link][logo]]() [ProGAN (coming soon)]()
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### Architectures
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* [![Youtube Link][logo]](https://youtu.be/fcOW-Zyb5Bo) [LeNet5](https://github.com/AladdinPerzon/Machine-Learning-Collection/blob/79f2e1928906f3cccbae6c024f3f79fd05262cd1/ML/Pytorch/CNN_architectures/lenet5_pytorch.py#L15-L35) **- CNN architecture**
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