I need training neural network.

I have to deliver a project to my university which is based on Fast AI's GAN lesson. I have a few notebooks in Google Colab and the code is finished 95%. I need someone to test different parameters and maybe find some better datasets or modify the current one (DIV2K) to get better results as I don't have much time given I have a full-time job. GAN is supposed to enhance quality of images. Critic and Generator for the GAN are pretrained and the Generator (U-net) is also used separately (to compare results later) so I'd need to get both GAN and U-net to have decent results. All images are saved on my Google drive, except for the GAN notebook but I was going to change it. So here you have the four notebooks I use: 1) [login to view URL] - Making low resolution images out of DIV2K dataset for training 2) [login to view URL] - U-net 3) [login to view URL] - GAN 4) [login to view URL] - preprocessing images before getting predictions, basically making then square as they will be later uploaded to a webpage which requires them to be square