BioSystemsUM / DeepMol
DeepMol: A Machine and Deep Learning Framework for Computational Chemistry
Why this job: says: deep learning framework; topics: deep-learning, machine-learning
What it does
DeepMol is a Python-based machine and deep learning framework for drug discovery. It offers a variety of functionalities that enable a smoother approach to many drug discovery and chemoinformatics problems. It uses Tensorflow, Keras, Scikit-learn and DeepChem to build custom ML and DL models or make use of pre-built ones. It uses the RDKit framework to perform operations on molecular data.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Inactive
- Last commit 7 months ago
- Stars
- 183
- On GitHub
- Licence
- BSD-2-Clause
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v1.2.1
- Released 7 months ago
- Built with
- Python
- 100% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 75% closed
- 15 still open
- Pull requests
- 55 merged
- 2 waiting
- Releases
- 29
- 2 in the last year
- No contributing guide
- No security policy
- No code of conduct
More: languages, topics and project record
Languages
- Python 100%
- Dockerfile <1%
- Makefile <1%
Topics
- chemoinformatics
- deep-learning
- machine-learning
Project record
- JobAI libraries and models
- StatusListed
- Commits1,718
- Forks21
- Watching7
- Stars in 28 days+2
- CreatedSep 8, 2020
- First seen by usNov 7, 2026
- CheckedNov 8, 2026