Start

Making a basic code base to handle day to day tasks. The ideas is to have a set of code base ready to fasten the work I do.

Feel free to look at the examples code to see how this code base can be used.

I intend to write following Algorithms for this code base for my day to day work in Examples Folder:

1. Simple Classification - Currently implemented with Cifar-10 dataset
2. Transfer Learning - Currently implemented with Cifar-10 dataset
3. Meta-Learning - Currently implemented with Cifar-10 dataset
4. AutoML - Yet to be implemented

Following are some of the algorithms which I wish to implement for further deepening the understanding and exploration of topics:

1. Facial Point Recognition - Currently implemented Udacity Facial Point Dataset
2. Object Detection - Will likely use MSCOCO Dataset
3. Single Shot Learning - Face Recognition using limited Samples
4. Semantic Segementation - Will likely use ISIC Dataset
5. Instance Segmentation - Will likely use MSCOCO Dataset
6. Domain Adaption - Algorithm and dataset are yet to be decided
7. Noise Removal From Images- Can be done using any image Dataset.
8. StyleGAN2ADA - Can be done using any image Dataset.