added cyclegan model

nicolalandro_cyclegan.md

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+---
+layout: hub_detail
+background-class: hub-background
+body-class: hub
+category: researchers
+title: cyclegan
+summary: generate pictures as famous artis from photos
+image: cyclegan_cezanne.png
+author: Nicola Landro
+tags: [vision, generative]
+github-link: https://github.com/nicolalandro/cyclegan-pretrained
+github-id: nicolalandro/cyclegan-pretrained
+featured_image_1: cyclegan_cezanne.png
+featured_image_2: no-image
+accelerator: "cuda-optional"
+---
+
+```python
+import torch
+model = torch.hub.load('nicolalandro/cyclegan-pretrained', 'cyclegan', pretrained='img2cezanne', device='cpu')
+print(model.trained_models_list)
+```
+
+### Example Usage
+
+```python
+from torchvision import transforms
+import torch
+import urllib
+from PIL import Image
+from torchvision.utils import save_image
+
+
+model = torch.hub.load('nicolalandro/cyclegan-pretrained', 'cyclegan', pretrained='img2cezanne', device='cpu')
+model.eval()
+
+url = 'https://raw.githubusercontent.com/nicolalandro/cyclegan-pretrained/main/images/scala_madonnina_del_mare.jpeg'
+img = Image.open(urllib.request.urlopen(url))
+scale_factor = 0.8
+shape = [int(x * scale_factor) for x in img.size]
+
+transform = transforms.Compose([
+    transforms.Resize(size=(shape[0], shape[1])),
+    transforms.ToTensor(),
+    transforms.Normalize((0.5, 0.5, 0.5), (0.5, 0.5, 0.5))
+])
+
+scaled_img = transform(img)
+torch_images = scaled_img.unsqueeze(0)
+
+with torch.no_grad():
+    fake_A = 0.5 * (model(torch_images).data + 1.0)
+    save_image(fake_A, 'cezanne_generated.png')
+```
+
+### Model Description
+This is a cyclegan, a generative model that is trained on an image style and can trasnform the generic images into images with that particular style.
+
+