Hi there 👋

yep, I have no motivational quotes here.

🛠 🔬

• PyAER: Needs refactoring and testing.
• v2e: V2.0 should be a total rewrite of the current repo.

🤔 ✍

• A better marriage between Transformers and event cameras.
• Various methods to mine insights from data.
• RLHF?

👀 📡

• ReduNet: A White-box Deep Network from the Principle of Maximizing Rate Reduction
• An Invitation to Deep Reinforcement Learning
• ImageBind: One Embedding Space To Bind Them All
• White-Box Transformers via Sparse Rate Reduction

🦉🙈👉🔗

🍬 🎁

• NSC-GPU-GUIDE: Still the best GPU setup guide I could find around internet.
• .vim: Actually my dotfiles, surprisingly easy to setup.