https://github.com/tsudalab/MolSLEPA

Interpretable Fragment-based Molecule Design with Self-learning Entropic Population Annealing
https://github.com/tsudalab/MolSLEPA

Last synced: 5 months ago
JSON representation

Interpretable Fragment-based Molecule Design with Self-learning Entropic Population Annealing

• Host: GitHub
• URL: https://github.com/tsudalab/MolSLEPA
• Owner: tsudalab
• License: mit
• Created: 2023-04-10T15:04:55.000Z (about 2 years ago)
• Default Branch: molslepa
• Last Pushed: 2023-04-13T12:48:49.000Z (about 2 years ago)
• Last Synced: 2024-08-05T06:32:07.376Z (8 months ago)
• Language: Python
• Size: 21.7 MB
• Stars: 5
• Watchers: 8
• Forks: 1
• Open Issues: 1

Awesome Lists containing this project

• best-of-atomistic-machine-learning - GitHub