robert
importedprotocols/robert
Automated machine learning protocols that start from CSV databases of descriptors or SMILES and produce publication-quality results in Chemistry studies with only one command line.
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Protocols & Guidelines
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- active
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/jvalegre/robert
- Documentation
- unknown
- Tags
- automation · cheminformatics · machine-learning · python · reproducibility · scikit-learn · workflows
- 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.
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- py4chemoinformaticscheminformatics · scikit-learn
Python for chemoinformatics
- auto-qchemautomation · cheminformatics
Auto-QChem is an automated workflow for the generation and storage of DFT calculations for organic molecules.
- get-chemical-smiles-by-cas-or-nameautomation · cheminformatics
Get chemical SMILES strings (structures) based on the CAS numbers or the names of the chemicals.
- biomakeworkflows
GNU-Make-like utility for managing builds and complex workflows
- api.github.com/repos/jvalegre/robertretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2026-07-26, 55 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 →
/v1/entries/37.json→ .entries["robert"]
Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.