Adaptive Learning Integration
This is the page for Adaptive Learning Integration (A.L.I) package. This package was tested and deployed during my internship at the Air Force Research Laboratory (AFRL) and thus we need to go through a Public Release process. This work was developed with my colleague
For now, if you are part of the AFRL, you may use the links below to access the paper, documentation and the code. After AFRL approval, the code and the supporting material will be hosted on this page.
Single Image Super Resolution
During my internship at Air Force Research Laboratory, I worked on Single Image Super Resolution using a novel and new method which acts as a hybrid of Variational Autoencoders and Generative Adversarial networks. Due to the sensitivity of the data, the results and application must go through a review of AFRL for publication. Below are the restricted access links to those pages:
VAEs and GANs : The Mathematics
A tutorial-like summary of the mathematics and the theoretical aspects of Variational Autoencoders (VAEs) and Generative Adversarial Networks (GANs).
General Tools and Packages
A simple PyTorch Container that supports GPU as well (CUDA).