This repository is my personal journal of learning advanced topics in machine learning. It includes an in-depth understanding of fundamentals + additional must-read/watch recourses for more nuanced subjects.
Currently Grinding: Vision Transformers (ViT)
My goals of this learning retreat includes studying:
- Ilya Sutskever's top 30 must-read research papers
- Most of Distilled AI's Blogs
- Artem Kirsanov's AI/ML Playlist
- Andrej Karpathy's golden Neural Net Playlist
- In-depth understanding/implementations of Transformers
- LLMs and related topics ✅
- LLM Halucination in depth ✅
- Quantum Machine Learning
- Jax
- Energy-Based Models