Run AI Code from github repository -- 2

I want someone to compile and run the below codes, provide me with pre-trained models, test on custom datasets, Run Evaluate_PSNR_SSIM to obtain PSNR/SSIM values for resultant images to check which one gives the best results.

(The output must be super resolution images)

1. VDSR4Geo (Very Deep Super-Resolution For Geospatial Data)
Link: https://github.com/CosmiQ/VDSR4Geo


2.srcnn
Link: https://github.com/WarrenGreen/srcnn

3. SR4RS
Link: https://github.com/remicres/sr4rs

4.Sattelite-Image-Super-resolution
Link: https://github.com/Mullahz/Satellite-Image-Super-resolution

5.Image Super-Resolution with Cross-Scale Non-Local Attention and Exhaustive Self-Exemplars Mining
Link: https://github.com/SHI-Labs/Cross-Scale-Non-Local-Attention

6.Gated Multiple Feedback Network for Image Super-Resolution
Link:https://github.com/liqilei/GMFN

7.Densely Residual Laplacian Super-resolution
Link:https://github.com/saeed-anwar/DRLN

8.Feedback Network for Image Super-Resolution
Link: https://github.com/Paper99/SRFBN_CVPR19

9. Image Super-Resolution Using Very Deep Residual Channel Attention Networks
Link:https://github.com/yulunzhang/RCAN

10. RDN
Link: https://github.com/yjn870/RDN-pytorch




the model must be trained if there is no pre-trained model in the repo and then saved models should be saved in order to run the test on my custom images

all details (updated code, test results, pre-trained models, evaluation) should be provided