[AAAI 2021] Code release for "Bi-Classifier Determinacy Maximization for Unsupervised Domain Adaptation" https://arxiv.org/abs/2012.06995

Unsupervised learning coupled with applied factor analysis to the five-factor model (FFM), a taxonomy for personality traits used to describe the human personality and psyche, via descriptors of common language and not on neuropsychological experiments. Used kmeans clustering and feature scaling (min-max normalization).

Official implementation of On-Demand Sampling: Learning Optimally from Multiple Distributions (Neurips 2022)

CNF Encodings for the Min-Max Multiple Traveling Salesmen Problem

Chess AI written in Rust that uses the min/max algorithm and tree pruning so predict 5-6 moves ahead.

A min-max Tetris AI that acts as a wrapper for a tkinter implementation of Tetris, which I also made

It is crucial in today’s last-mile delivery ecosystem to optimize for speed, and cost efficiencies. Smarter algorithms play a crucial role in the ecommerce marketplace deliveries. We need to group/batch the delivery of multiple items to the same rider without losing time. Implemented using rule based and clustering algorithm.