Update: 2024.07.11
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π Trending Up
Projects that have a higher project-quality score compared to the last update. There might be a variety of reasons, such as increased downloads or code activity.
- DP-GEN (π₯22 Β· β 290 Β· π) - The deep potential generator to generate a deep-learning based model of interatomic potential energy and force field.
LGPL-3.0
- DeePTB (π₯17 Β· β 34 Β· π) - DeePTB: A deep learning package for tight-binding approach with ab initio accuracy.
LGPL-3.0
- DPGEN2 (π₯17 Β· β 31 Β· π) - 2nd generation of the Deep Potential GENerator.
LGPL-3.0
- DeePKS-kit (π₯10 Β· β 96 Β· π) - a package for developing machine learning-based chemically accurate energy and density functional models.
LGPL-3.0
- docs (π₯6 Β· β 3 Β· π) - The home page of DeepModeling documentation.
LGPL-3.0
π Trending Down
Projects that have a lower project-quality score compared to the last update. There might be a variety of reasons such as decreased downloads or code activity.
- DeePMD-kit (π₯28 Β· β 1.4K Β· π) - A deep learning package for many-body potential energy representation and molecular dynamics.
LGPL-3.0
- APEX (π₯14 Β· β 19 Β· π) - APEX: Alloy Properties EXplorer using simulations.
LGPL-3.0
- DP-GUI (π₯14 Β· β 7 Β· π) - A web-based GUI for user inputs.
LGPL-3.0
- args (π₯10 Β· β 2 Β· π) - DeepModeling dargs arguments generation.
LGPL-3.0
- DeePDih (π₯4 Β· β 3 Β· π£) - Deep Potential driven molecular dihedral scan toolkit.
MIT