A Bayesian Optimization Package with No Fuzz
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Updated
Jan 29, 2019 - Python
A Bayesian Optimization Package with No Fuzz
Testing several hyperparameter optimization techniques.
I showcase that I have broad set of skills regarding machine learning algorithms since I use Logistic Regression, XGBoost and Neural Networks in this project. Especially that I have a good understanding regarding neural networks and the Keras library.
Finding the best solution for geometry of electrical devices based on defined target for frequency responses
A framework for exploring the condition space of free radical polymerization (FRP) using Bayesian optimization and Monte Carlo simulation
Different techniques to tune the hyperparameter of machine learning models.
My undergraduate honours project, with others' private information/code removed.
Mind Foundry OPTaaS R Client
Bayesian Optimization for Machine Learning
Final Project about optimizing NN with Bayesian Optimization for Bayesian Methods in ML course in Washington University
Nathan Rumsey's junior year International Science and Engineering Fair (ISEF) Project for the 2019-2020 school year.
Team programming exercises for the course unit "Probabilistic Artificial Intelligence", ETH Zurich
Optimizing image processing in retinal prosthetics using human-in-the-loop optimization.
House Prices: Advanced Regression Techniques
An open-source SciML tool for automated design evaluation & optimization using CFD based analysis
(AISTATS 2024) "Looping in the Human: Collaborative and Explainable Bayesian Optimization"
Bayesian Optimization Algorithm for Molecular Conformers
Various small projects covering a wide range of topics
A submission for Garanti BBVA Teknoloji Data Science Challenge
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