Here are some links to resources, tools, and people I find interesting or useful.
Mila - Quebec AI Institute: My research home.
arXiv Sanity Preserver: Great tool by Andrej Karpathy for navigating recent ML papers.
Distill.pub: High-quality, interactive articles explaining ML concepts.
Papers With Code: Find papers and their corresponding code implementations.
Spinning Up in Deep RL (OpenAI): Excellent resource for learning about Deep Reinforcement Learning.
Robotics Stack Exchange: Q&A site for robotics.
The Robot Report: News and analysis on the robotics industry.
IEEE Spectrum Robotics: In-depth articles on robotics research and applications.
Julia Language: My preferred language for technical computing.
Franklin.jl: The static site generator used to build this website.
VS Code: My primary code editor.
Zotero: Reference management.
Overleaf: Collaborative LaTeX editor.
Andrej Karpathy's Blog: Insights on deep learning and AI.
Colah's Blog: Beautiful explanations of ML concepts.
Lilian Weng's Blog: Thorough posts on various AI topics.
BAIR Blog (Berkeley AI Research): Updates from Berkeley's AI lab.
Project Euler: Challenging mathematical/computer programming problems.
Hacker News: Tech news aggregator.
Typo corrected: Probabilistic. Added more example links.