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…
Wildfire
Wildfire I – Object Detection
Wildfires are no longer just seasonal anomalies, they are increasingly frequent, destructive, and unpredictable global…
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…