materialsproject/matbench
Matbench: Benchmarks for materials science property prediction
This helps materials scientists and researchers fairly compare and test different machine learning models designed to predict material properties. It provides a standardized set of materials science datasets and tasks, allowing you to feed in your model and get out a robust performance evaluation against established benchmarks. Materials engineers, computational chemists, and academic researchers focused on material discovery and design will find this valuable.
190 stars. Used by 1 other package. No commits in the last 6 months. Available on PyPI.
Use this if you are developing or evaluating machine learning models for materials property prediction and need a reliable, standardized way to benchmark their performance against others.
Not ideal if you are looking for a tool to develop or train new materials science machine learning models, as this project focuses on benchmarking existing models.
Stars
190
Forks
59
Language
Python
License
MIT
Category
Last pushed
Aug 20, 2024
Commits (30d)
0
Dependencies
4
Reverse dependents
1
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