deepmodeling / DeePTB
DeePTB: A deep learning package for tight-binding Hamiltonian with ab initio accuracy.
Why this job: works in the areas we cover, but does not say which job it does
What it does
DeePTB contains two main components: 1. DeePTB-SK: deep learning based local environment dependent Slater-Koster TB.
Get started
git clone https://github.com/deepmodeling/DeePTB.git
cd DeePTB - Maintenance
- Active
- Last commit 31 days ago
- Stars
- 125
- On GitHub
- Licence
- LGPL-3.0
- Share-alike for changes
- Downloads for
- None listed
- No release files
- Latest version
- v2.2.1
- Released 4 months ago
- Built with
- Python
- 98% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 52% closed
- 38 still open
- Pull requests
- 247 merged
- 7 waiting
- Releases
- 13
- 1 in the last year
- Contributing guide (opens in new tab)
- No security policy
- No code of conduct
More: languages, topics and project record
Languages
- Python 98%
- Julia 2%
- Jupyter Notebook <1%
- Shell <1%
Topics
- dft
- hamiltonian
- machine-learning
- slater-koster
- tight-binding
Project record
- JobOther AI tools
- StatusListed
- Commits871
- Forks36
- Watching2
- Stars in 28 days+1
- CreatedJul 11, 2023
- First seen by usNov 7, 2026
- CheckedNov 8, 2026