Alfred (Hossein Zaredar) and Theodore (Matin Tavakoli) attempt to dive into famous deep learning papers and implement them from scratch. The quest begins!
- NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
- Denoising Diffusion Probabilistic Models
- Implicit Neural Representations with Periodic Activation Functions
- Attention Is All You Need
- Segment Anything
- Energy-based Models
- Mean Field
- Mixture Distributions
- GAN Variants
- Attention
- Diffusion Models
- GPT Models and ChatGPT
- Contrastive Loss
- Papers in 100 Lines of Code
- Aladdin Persson
- NYU Deep Learning SP21
- Intro to Deep Learning and Generative Models Course
- Cutting Edge Deep Learning for Coders 2
- CodeEmporium (good for NLP)
- Nicolai Nielsen (YOLO models)
- From Scratch Implementations of Deep Learning Algorithms (mostly GANs)
- Soroush Mehraban
- Kapil Sachdeva
- Outlier
- YannicKilcher
- Andrej Karpathy