While Model Trains

Read data blog posts.
Carefully handpicked.
Presented 3 at a time.

Stop Hard Coding in a Data Science Project – Use Config Files Instead

Khuyen Tran

In a data science project, certain values such as file names, train-test split ratios, and hyperparameters often undergo frequent changes. By using configuration files instead of hard-coding these values, you can achieve better maintainability and flexibility.

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The Illustrated Stable Diffusion

Jay Alammar

A beginner-friendly overview of how Stable Diffusion works.

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So, what is a physics-informed neural network?

Ben Moseley

"By incorporating existing physical principles into machine learning we are able to create more powerful models that learn from data and build upon our existing scientific knowledge."

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