CheMLFlow
importedtherapeutics/chemlflow
Configuration-driven, reproducible ML workflows for molecules and materials, with DOE, auditable artifacts and agent-assisted execution.
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Therapeutics
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- active
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/nijamudheen/CheMLFlow
- Documentation
- unknown
- Tags
- ai-for-science · cheminformatics · design-of-experiments · materials-informatics · molecular-machine-learning · reproducible-research · scientific-workflow-management · scientific-workflows
- Regulatory
- unknown
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- BRIDGEai-for-science · scientific-workflows
Scientific Agent for evidence-grounded evaluation of cell-therapy products.
- aidsorbcheminformatics · materials-informatics
Python package for deep learning on porous materials and beyond.
- MaterialsBasecheminformatics · materials-informatics
Database for Materials
- molecular-vaecheminformatics · materials-informatics
Pytorch implementation of the paper "Automatic Chemical Design Using a Data-Driven Continuous Representation of Molecules"
- openmixai-for-science · cheminformatics
Open-source framework for computational formulation science from ingredient validation to autonomous mixture optimization. The missing infrastructure layer between single-molecule tools (RDKit) and…
- ESCALATE_Capturecheminformatics · materials-informatics
Data capture and experimental interfacing software for chemistry (part 1 of 2)
- api.github.com/repos/nijamudheen/CheMLFlowretrieved 2026-08-25 · via github-api
Machine-imported from GitHub search. Last push 2026-08-21, 15 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/16.json→ .entries["chemlflow"]
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