bofire
importedtherapeutics/bofire
Experimental design and (multi-objective) bayesian optimization.
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Therapeutics
- Subcategory
- unknown
- License
- BSD-3-Clause(osi)
- Status
- active
- Maturity
- deployed
- Organization
- experimental-design
- Country
- unknown
- Repository
- github.com/experimental-design/bofire
- Documentation
- unknown
- Tags
- active-learning · bayesian-optimization · cheminformatics · experimental-design · multiobjective-optimization
- Regulatory
- unknown
Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- chempropactive-learning · bayesian-optimization
Fast and scalable uncertainty quantification for neural molecular property prediction, accelerated optimization, and guided virtual screening.
- aqmlactive-learning · cheminformatics
Amons-based quantum machine learning for quantum chemistry
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Power analysis is essential to optimize the design of RNA-seq experiments and to assess and compare the power to detect differentially expressed genes. PowsimR is a flexible tool to simulate and…
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Bayesian Optimization for protein design and mining
- SOBERbayesian-optimization
Fast Bayesian optimization, quadrature, inference over arbitrary domain with GPU parallel acceleration
- summitbayesian-optimization
Optimising chemical reactions using machine learning
- api.github.com/repos/experimental-design/bofireretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2026-08-04, 400 stars, license reported as BSD-3-Clause. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/2.json→ .entries["bofire"]
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