ramanspectrumpredictor_qm9

Predict Raman spectra of organic molecules with our ML pipeline using RDKit descriptors and a QM9-style dataset. 🌟🔍 Explore the project on GitHub!

https://github.com/kiks26-08/ramanspectrumpredictor_qm9

Science Score: 26.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
  • Academic links in README
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (2.2%) to scientific vocabulary

Keywords

chemoinformatics machine-learning materials-informatics molecular-modeling qm9 raman-spectroscopy rdkit spectral-prediction-model streamlit xgboost
Last synced: 6 months ago · JSON representation

Repository

Predict Raman spectra of organic molecules with our ML pipeline using RDKit descriptors and a QM9-style dataset. 🌟🔍 Explore the project on GitHub!

Basic Info
  • Host: GitHub
  • Owner: Kiks26-08
  • License: other
  • Language: Python
  • Default Branch: main
  • Size: 21.5 KB
Statistics
  • Stars: 0
  • Watchers: 0
  • Forks: 0
  • Open Issues: 0
  • Releases: 1
Topics
chemoinformatics machine-learning materials-informatics molecular-modeling qm9 raman-spectroscopy rdkit spectral-prediction-model streamlit xgboost
Created 7 months ago · Last pushed 7 months ago
Metadata Files
Readme License Citation Zenodo

Owner

  • Login: Kiks26-08
  • Kind: user

GitHub Events

Total
  • Release event: 1
  • Push event: 29
  • Create event: 3
Last Year
  • Release event: 1
  • Push event: 29
  • Create event: 3

Dependencies

environment.yml pypi
requirements.txt pypi
  • joblib *
  • matplotlib *
  • numpy *
  • pandas *
  • pytest *
  • rdkit *
  • scikit-learn *
  • seaborn *
  • streamlit *
  • xgboost *