# janosh/matbench-discovery

<https://repo.masters-masters.com/en/repos/janosh/matbench-discovery>

[Home](https://repo.masters-masters.com/en) › [janosh](https://repo.masters-masters.com/en/owners/janosh) › [matbench-discovery](https://repo.masters-masters.com/en/repos/janosh/matbench-discovery)

janosh/matbench-discovery has 258 stars on GitHub. Its RepoMasters card: Alpha tier. An evaluation framework for machine learning models simulating…

| Field | Value |
| --- | --- |
| Owner | [janosh](https://repo.masters-masters.com/en/owners/janosh) |
| Stars | 258 |
| Forks | 79 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2022 |
| Topics | bayesian-optimization, convex-hull, machine-learning, materials-discovery, high-throughput-search, interatomic-potential |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [janosh/matbench-discovery](https://github.com/janosh/matbench-discovery) |

## Repository

An evaluation framework for machine learning models simulating high-throughput materials discovery.

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.