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Multi-objective Bayesian optimization for physical experiments with Ax.

License: MIT License

Jupyter Notebook 99.43% Python 0.57%
ax bayesian-optimization experimentation multi-objective-optimization process-optimization

code_mqs's Introduction

Hi there ๐Ÿ‘‹, I'm Michail

๐Ÿ‘จโ€๐Ÿ’ป About Me

I'm a motivated engineering graduate from Greece looking to combine my materials science skills with machine learning towards developing sustainable and impactful projects.

๐Ÿ›  Tech Stack

Languages: Python

Python Libraries: NumPy, Pandas, Scikit-Learn, fastai, PyTorch for Deep Learning, PyTorch for Bayesian Optimization (Dragonfly, Ax, BayBE)

Large Language Models: Experience with prompt engineering for large language models

Other: PowerBI, PostgreSQL, MATLAB

๐Ÿ“Š GitHub Stats

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๐Ÿค Connect

Reach out to me on LinkedIn or my E-mail!

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