Floods
Flood Prediction III – UNet Baseline
We’ve sourced the multi-modal satellite data, cleaned it and created a tensor pipeline, and dissected…
Flood Prediction II – The Data Prep
It’s been a minute since my last post on data acquisition. Between a much needed…
BCE, Focal, Dice, and Tversky – Flood Prediction Loss Deep Dive
What is a Loss Function? As an intuitive understanding loss would be predicted value –…
Flood Prediction – UNet + Linear Modulation – Notes
I was working on flood prediction project and working with a unet – code here…
Flood Prediction I – Nose diving into Data sources
Code for this data extraction pipeline is available on my GitHub. We live in such…
Differential Equations
Looking at Artemis
Did you know NASA JPL has a service called Horizons which lets you look at…
Differential Equations V – Physics Informed Neural Networks (PINNs)
In our previous posts, we reached the limits of both the classical and computational worlds….
Differential Equations IV – How Computers Solve Differential Equations
In the previous posts, we marveled at the elegance of the classical toolkit. We used…
Differential Equations III – Systems, Signals, and State Space
In last part, we learned how to solve isolated differential equations, a single pendulum swinging,…
Differential Equations II – The Classical Mechanics of Calculus
In Part I, we explored the geometric blueprints of differential equations. We looked at first…
Differential Equations I – Intuition & Analytical Solutions
“Change is the only constant in life” That’s also how the universe works in a…