I like
- π€ Machine Learning
- π§ Deep Learning
- βοΈ Mathetmatical Data Analysis, and
- π¬ Physics
πΈοΈ You can check out my website for more info
π« You can reach me through the contact form of my website.
π¨βπ» 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
Here are some projects / articles you might be interested in:
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- 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
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- 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!
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- 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
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- 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
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- Differentiable Programming is a relative neologism that is often conflated with Machine Learning
- Check out this article to learn what Differentiable Programming actually is