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Copy file name to clipboardExpand all lines: README.md
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<details><summary><b><ahref="https://github.com/deepmodeling/deepmd-kit">DeePMD-kit</a></b> (🥇26 · ⭐ 1.5K) - A deep learning package for many-body potential energy representation and molecular dynamics. <code><ahref="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>
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<details><summary><b><ahref="https://github.com/deepmodeling/abacus-develop">ABACUS</a></b> (🥇26 · ⭐ 170) - An electronic structure package based on either plane wave basis or numerical atomic orbitals. <code><ahref="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>
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<details><summary><b><ahref="https://github.com/deepmodeling/dpdata">dpdata</a></b> (🥇24 · ⭐ 200) - A Python package for manipulating atomistic data of software in computational science. <code><ahref="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>
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docker pull dptechnology/dpdata
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<details><summary><b><ahref="https://github.com/deepmodeling/dpdispatcher">dpdispatcher</a></b> (🥇23 · ⭐ 42 · 📈) - generate HPC scheduler systems jobs input scripts and submit these scripts to HPC systems and poke until they finish. <code><ahref="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>
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<details><summary><b><ahref="https://github.com/deepmodeling/dpdispatcher">dpdispatcher</a></b> (🥇23 · ⭐ 42) - generate HPC scheduler systems jobs input scripts and submit these scripts to HPC systems and poke until they finish. <code><ahref="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>
<details><summary><b><ahref="https://github.com/deepmodeling/dargs">dargs</a></b> (🥈19 · ⭐ 5) - Argument processing for the deep modeling project. <code><ahref="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>
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<details><summary><b><ahref="https://github.com/deepmodeling/dargs">dargs</a></b> (🥈18 · ⭐ 5 · 📉) - Argument processing for the deep modeling project. <code><ahref="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>
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<details><summary><b><ahref="https://github.com/deepmodeling/dpgen2">DPGEN2</a></b> (🥈17 · ⭐ 33) - 2nd generation of the Deep Potential GENerator. <code><ahref="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>
<details><summary><b><ahref="https://github.com/deepmodeling/DeePTB">DeePTB</a></b> (🥈16 · ⭐ 49) - DeePTB: A deep learning package for tight-binding approach with ab initio accuracy. <code><ahref="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>
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<details><summary><b><ahref="https://github.com/deepmodeling/DeePTB">DeePTB</a></b> (🥈16 · ⭐ 52) - DeePTB: A deep learning package for tight-binding approach with ab initio accuracy. <code><ahref="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>
<details><summary><b><ahref="https://github.com/deepmodeling/deepks-kit">DeePKS-kit</a></b> (🥉10 · ⭐ 100) - a package for developing machine learning-based chemically accurate energy and density functional models. <code><ahref="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>
<details><summary><b><ahref="https://github.com/deepmodeling/deepks-kit">DeePKS-kit</a></b> (🥉10 · ⭐ 100) - a package for developing machine learning-based chemically accurate energy and density functional models. <code><ahref="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>
_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._
_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._
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- <b><ahref="https://github.com/deepmodeling/dargs">dargs</a></b> (🥈18 · ⭐ 5 · 📉) - Argument processing for the deep modeling project. <code><ahref="http://bit.ly/37RvQcA">LGPL-3.0</a></code>
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