• Hello, these are papers implemented from scratch to obtain a better understanding of how Neural Networks work.
• You can read the detailed postings on all of these @ https://www.shyun.dev
• The current, and also slightly ambitious list, in no specific order for implementing papers are:

1. Resnet (Done on 2025-12-26!)
2. Batch Normalization (Done on 2026-01-02!)
3. Layer Normalization (Done on 2026-01-06!)
4. Attention/Multi-Head-Attention (Done on 2026-01-26!)
5. Transformer Architecture (Done on 2026-02-07!)
6. ViT
7. LoRa
8. GAN
9. DCGAN
10. U-Net
11. DDPM
12. Latent Diffusion Models
13. Stable Diffusion Models