Logan Mondal Bhamidipaty

Course notes for Stanford's algorithmic game theory course (CS269I: Incentives in Computer Science).

Links to cool graphs I made on Desmos! Almost all of the graphs are interactive, so play around with them as much as you like!

generate "dense" crosswords

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Course reader for Nobel laureate Paul Milgrom's market design course (ECON 136) at Stanford.

Retrieval-augmented informed neural proccesses

A Julia package for exponential family principal component analysis (EPCA).

Tutorial completed at Oxford (Michaelmas 2023) under Martin Buttenschoen.

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Python package for market design (WIP)

Re-implement image processing techniques from scratch.

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Visualize Stanford course prerequisites as a network.

This project implements a simple Naive Bayes Classifier that predicts political affiliation for US politicians based on their Wikipedia biographies.

Exploring automatic differentiation!

Train AI to read your brain! 🤖➡️🧠

econ 136 practice

A personal math tester that keeps track of your score and adapts questions to help you learn!

Developing a course reader for Econ 136

Optimize the GA agenda! (i.e., genetic algorithms optimize scheduling problems)

In fair Voronoi, where we lay our scene...

Remove gridlines from a sketch I drew. Documents the journey and techniques that I've explored on this deceptively hard quest!

Demos and implementations of concepts I learned while self-studying Steven W. Smith's textbook on DSP.

some simple code that visualizes butterfly networks

Visualize the prime spiral. ("If you stare into primality, primality stares back at you.")

Plot every LDS temple on Earth!

Simulate hexagonal circle packing through a fun toy problem!

A personal project to parse and display texts from my personal trainer.

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