Colab-Model-Bank

1.

Created Unet model for creating image segmentation on medical cellular imagery

2.

Generator and discriminator model trained on the Mnist dataset to create believable fake handwritten images of digits

3.

GAN model on cifer10 images to create believable fake images from the cifer10 dataset

4.

GAN model combined with Unet for converting car POV imagery into depth segmentation for driverless car computing

5

GloVe embedding model containing embeddings of 1200+ words/tokens.