Literature review and code implementations from scratch of Recent Papers in AI/ML. The topics covers computer vision detection/segmentation/recognition tasks + implementation of latest techniques and methodologies. Consider this repository as educative.
| ### | Paper Review & Analysis |
|---|---|
| 1. | Alexnet, GoogleNet (Inception), Resnet |
| 2. | R-CNN family |
| 3. | Yolov1, Yolov3 |
| 4. | Mask RCNN, Unet |
| 5. | ViT, Swin, Deit |
| 6. | BYOL, MoCo, Barlow Twins, SimCLR, SwAV |
| 7. | SSL - Masking and Knowledge Distillation |
| 8. | Mean Teacher, Noisy Student, FixMatch, Flexmatch |
| ### | Coding Assignments |
|---|---|
| 1. | Assignment 1: Pytorch_AlexNet_GoogleNet |
| 2. | Assignment 2: Yolov3-v4 |
| 3. | Assignment 3: Vision Transformer |
| 4. | Assignment 4: Masked AutoEncoder |
The course and assignments are credited by professor Chaklam repo
