aqml
importedtherapeutics/aqml
Amons-based quantum machine learning for quantum chemistry
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Therapeutics
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- maintained
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/binghuang2018/aqml
- Documentation
- unknown
- Tags
- active-learning · cheminformatics · kernel-ridge-regression · machine-learning · molecular-representation · multi-fidelity-krr · quantum-chemistry · training-set-selection
- 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.
- aqmecheminformatics · quantum-chemistry
Automated Quantum Mechanical Environments (AQME) offers transparent and reproducible workflows available for Jupyter Notebooks and command lines, including: 1) RDKit- and CREST-based conformer…
- AutoChemcheminformatics · quantum-chemistry
Virtual Chemical Reactor and scripts for automated quantum chemistry calculations
- cmilescheminformatics · quantum-chemistry
Generate canonical molecule identifiers for quantum chemistry database
- psikitcheminformatics · quantum-chemistry
psi4+RDKit
- pySiRCcheminformatics · quantum-chemistry
Simple web application for prediction of reaction rate constant through machine learning models using molecular fingerprints.
- qmllibcheminformatics · quantum-chemistry
Quantum machine learning (QML) molecular representations and core functions
- api.github.com/repos/binghuang2018/aqmlretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2025-11-04, 26 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/22.json→ .entries["aqml"]
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