Self studying ml stuff to push myself and not doomscroll
handwritten notes for retention.
- 3b1b linear algebra series
- 3b1b neural networks series
- Andrej Karpathy: Neural Networks Zero to Hero
- Afshine & Shervine Amidi's CME296: Diffusion & Large Vision Models @ Stanford
- Afshine & Shervine Amidi's CME295: Transformers & Large Lanugage Models @ Stanford
- Percy Liang's CS336: Language Modeling from Scratch @ Stanford
- Dive into Deep Learning (D2L.ai)
- Umar Jamil's Distributed Training Course
- Jacob Austin’s how to scale your model