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sdl-framework

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therapeutics/sdl-framework

A reproducible framework for closed-loop experimental optimization using self-driving laboratory principles and Bayesian optimization.

Machine-generated from the listed sources and not yet reviewed by a human.

sdl-framework project image
GitHub preview card for Oluwaseun-O-Ajayi/sdl-framework. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Therapeutics
Subcategory
unknown
License
MIT(osi)
Status
active
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
doi.org/10.5281/zenodo.21652612
Repository
github.com/Oluwaseun-O-Ajayi/sdl-framework
Documentation
unknown
Tags
active-learning · bayesian-optimization · closed-loop-optimization · drug-discovery · experimental-design · laboratory-automation · machine-learning · python · scientific-software · self-driving-lab · self-driving-labs
Regulatory
unknown
similar by tags

Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

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  • OpenSDLself-driving-labs

    A modular Python foundation for reproducible computational and autonomous laboratories. Alpha; the reference profile is simulator-only.

  • SOBERbayesian-optimization · drug-discovery

    Fast Bayesian optimization, quadrature, inference over arbitrary domain with GPU parallel acceleration

  • summitbayesian-optimization · drug-discovery

    Optimising chemical reactions using machine learning

sources
  1. api.github.com/repos/Oluwaseun-O-Ajayi/sdl-framework
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2026-07-28, 3 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/27.json→ .entries["sdl-framework"]

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