Archive

Apart from publishing academic papers, I am passionate about sharing knowledge and practical insights with the wider community. I believe that research can have a broader impact when complemented by open-source projects and technical blogs.

Code

• Implementation of Glow. My implementation of the Glow model in pytorch.
• EDM. State-of-the-art diffusion model implementation.
• Deep learning notebooks. A comprehensive guide that provides clear instructions for implementing various deep learning models.
• Build GPT2 Karpathy’s step by step implementation of the GPT2 model. A good way to learn how to build a project from scratch.

Technical Blog

• A introduction to flow matching. High level ideas on flow matching and stochastic interpolants.
• Step-by-Step Diffusion: An Elementary Tutorial. A beginner’s guide to diffusion models, where the authors start from an ODE perspective and exclude all stochastic elements of diffusion models.
• Deep learning tuning playbook. Tricks for doing deep learning projects.
• Learn git branching. This website helps you learn git by visualize your git commands.
• Trouble shooting for installing cuda toolkit on a server that you do not have a sudo access.

Misc.

• How to learn diffusion models. A list of papers I created for learning diffusion models and the follow-up ODE-based generative models.
• 10 easy ways to fail a Ph.D..
• Writing Personal Statement for graduate school applications (From a professor’s perspective)
• Writing Personal Statement for graduate school applications (With annotated examples)