| Name | Version | Summary | date |
| botorch |
0.11.0 |
Bayesian Optimization in PyTorch |
2024-05-01 20:33:12 |
| bofire |
0.0.12 |
None |
2024-03-26 09:35:10 |
| boar-pv |
1.0.10 |
High throughput parameter extraction and experimental design with Bayesian optimization |
2024-02-23 13:30:20 |
| matbench-discovery |
1.1.1 |
A benchmark for machine learning energy models on inorganic crystal stability prediction from unrelaxed structures |
2024-01-28 14:19:42 |
| mindfoundry-optaas-client |
1.4.4 |
Mind Foundry Optimization as a Service: Python Client |
2024-01-26 11:58:35 |
| mfpml |
1.0.0 |
Probabilistic machine learning methods |
2024-01-03 12:38:10 |
| pysamoo |
0.1.2 |
Surrogate-Assisted Multi-objective Optimization |
2023-11-26 02:57:54 |
| moebius |
0.3.dev3 |
Python package for optimizing peptide sequences using Bayesian optimization (BO) |
2023-06-12 17:21:08 |
| mopti |
0.10.10 |
Tools for experimental design and multi-objective optimization |
2023-03-22 08:13:45 |