[AAAI 2021] Code release for "Bi-Classifier Determinacy Maximization for Unsupervised Domain Adaptation" https://arxiv.org/abs/2012.06995
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Dec 15, 2020 - Python
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min-max-optimization
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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).
machine-learning psychology factor-analysis kmeans-clustering personality ffm personality-traits unsupervised-machine-learning neuropsychology factor-model big-five-traits min-max-optimization min-max-normalization neuropsychological-experiments
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Jun 19, 2021 - Jupyter Notebook
Official implementation of On-Demand Sampling: Learning Optimally from Multiple Distributions (Neurips 2022)
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Oct 25, 2022 - Python
Robust optimization and projected extragradient for synthetic fulfillment-center labor planning under workload uncertainty.
python optimization uncertainty robust-optimization operations-research saddle-point min-max-optimization extragradient labor-planning monotone-inclusion
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Sep 14, 2026 - Python
Chess AI written in Rust that uses the min/max algorithm and tree pruning so predict 5-6 moves ahead.
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Aug 23, 2020 - Rust
CNF Encodings for the Min-Max Multiple Traveling Salesmen Problem
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Apr 29, 2020 - C++
Robust optimization and saddle-point methods for synthetic middle-mile transportation capacity planning under demand uncertainty.
python optimization transportation uncertainty robust-optimization operations-research saddle-point min-max-optimization extragradient monotone-inclusion
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Sep 11, 2026 - Python
A min-max Tetris AI that acts as a wrapper for a tkinter implementation of Tetris, which I also made
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Jun 1, 2020 - Python
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.
constraint-satisfaction-problem data-analysis batch-processing geospatial-analysis delivery-engine min-max-optimization
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Mar 2, 2024 - Python
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