👋 Hi, I’m Ryan!

I like

• 🤖 Machine Learning
• 🧠 Deep Learning
• ✖️ Mathetmatical Data Analysis, and
• 🔬 Physics

🕸️ You can check out my website for more info

📫 You can reach me through the contact form of my website.

Current Position

👨‍💻 I work as a Developer Advocate at AssemblyAI

• Click here to check out some of my articles
• Go to AssemblyAI-Examples to check out some other projects my colleagues and I have worked on

Select Projects / Articles

Here are some projects / articles you might be interested in:

• MinImagen - A Minimal Imagen Text-to-Image Implementation

  • MinImagen is a project intended to understand how State-of-the-Art text-to-image models like Imagen and DALL-E 2 work
  • Check out these resources to learn more:
    • Build Your Own Imagen Text-to-Image Model (explanatory article)
    • GitHub Repository
    • Documentation
    • PyPi Package

• How DALL-E 2 Actually Works

  • This article explains how the DALL-E 2 text-to-image model works under the hood
  • It includes explanations at several levels and is intended for anyone who wants to learn more about Deep Learning / DALL-E 2!

• Introduction to Diffusion Models for Machine Learning

  • Both Imagen and DALL-E 2 rely on a relatively recent Deep Learning approach called Diffusion Models
  • This article provides you with everything you need to know to understand how Diffusion Models work

• Why You Should (or Shouldn't) Be Using JAX in 2022

  • JAX is an interesting project from Google which is essentially AutoGrad + NumPy on accelerators
  • JAX is growing in popularity in the ML community, but it follows a different paradigm than PyTorch or TensorFlow
  • Check out this article to see if JAX is right for you

• Differentiable Programming - A Simple Introduction

  • Differentiable Programming is a relative neologism that is often conflated with Machine Learning
  • Check out this article to learn what Differentiable Programming actually is