aspuru-guzik-group/olympus
Olympus: a benchmarking framework for noisy optimization and experiment planning
This tool helps scientists and engineers reliably compare and evaluate different experiment planning or optimization algorithms. You input various optimization algorithms and experimental parameters (like continuous, discrete, or categorical values), and it outputs benchmark results and visualizations to show how well each algorithm performs. This is ideal for researchers in chemistry, materials science, or any field that uses data-driven experimentation.
No commits in the last 6 months.
Use this if you need to systematically benchmark and compare the effectiveness of different optimization algorithms for experiment planning, especially in fields like chemistry and materials science.
Not ideal if you are looking for an out-of-the-box solution to directly optimize your experiments without needing to compare or develop new optimization algorithms.
Stars
95
Forks
30
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Nov 24, 2024
Commits (30d)
0
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