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6. Ahead of Times - Issue 2 (May 01 - May 07): A weekly AI newsletter sharing key updates, projects, GitHub repos, research trends, and research papers.
7. Ahead of Times - Issue 1 (Apr 24 - Apr 30): The first issue of the weekly AI newsletter with the latest news and updates.
8. Paper Review - ‘LaMini-LM’: A review of the paper "LaMini-LM - A Diverse Herd of Distilled Models from Large-Scale Instructions".
9. The Annotated CLIP (Part-2): A detailed explanation of the PyTorch code behind CLIP for model building and training.
10. The Annotated CLIP (Part-1): An introduction to CLIP, comparing it to other research papers and discussing the inspiration behind it.
11. Swin Transformer: Explanation and PyTorch implementation of the Swin Transformer Model Architecture.
12. The Annotated DETR: Explanation and PyTorch implementation of the DETR Model Architecture for end-to-end object detection.
13. The sad state of AI and tech startups in Australia today and what can we do about it: A discussion on the current state of AI and tech startups in Australia.
14. Adam and friends: Implementation of basic optimizers like Adam, SGD, RMSProp from scratch in PyTorch.
15. Vision Transformer: Detailed look at the Vision Transformer architectures and their re-implementation in PyTorch from scratch.
16. The EfficientDet Architecture in PyTorch: A guide on how to implement the EfficientDet architecture in PyTorch from scratch.
17. EfficientDet - Scalable and Efficient Object Detection: Explanation of how EfficientDets work step-by-step.
18. Top 100 solution - SIIM-ACR Pneumothorax Segmentation: A solution for Image Segmentation based problem in Pytorch with SIIM-ACR Pneumothorax Segmentation competition.
19. U-Net A PyTorch Implementation in 60 lines of Code: Implementation of the U-Net architecture in PyTorch in 60 lines of code.
20. GeM Pooling Explained with PyTorch Implementation and Introduction to Image Retrieval: Explanation of GeM pooling and implementation from scratch in PyTorch.