Updated Math, Enhanced Functionalities

What is New in this Version?

• Flexibility to Add different independent Datasets for AutoEncoder and LSTM, now these components don't necessarily have to be trained on the same images.
• Ability to define independent and different batch size for AutoEncoder Training and LSTM Training.
• SSIM will now act as Regularization Term along with MSE in SSIMLoss Function.
• Updated and Corrected Math for MaxEnt Regularization Term.
• For LSTM Training, Each Individual Sequence will now be split to create Training/Validation Datasets.

Stable Multi-GPU Support

Core Functionality Achieved with PyTorch DDP.

Attached Zip File contains:

• Necessary Python Scripts
• requirements.txt
• Code Explanation in README.md

First Stable Release

Core Functionality Achieved.

Attached Zip File contains:

• Necessary Python Scripts
• requirements.txt
• Code Explanation in README.md