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Copy file name to clipboardExpand all lines: README.md
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<ahref="#contents"><imgalign="right"width="15"height="15"src="https://git.io/JtehR"alt="Back to top"></a>
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<details><summary><b><ahref="https://github.com/deepmodeling/deepmd-kit">DeePMD-kit</a></b> (🥇29 · ⭐ 1.7K · 📈) - 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/deepmd-kit">DeePMD-kit</a></b> (🥇29 · ⭐ 1.7K) - 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>
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<details><summary><b><ahref="https://github.com/deepmodeling/abacus-develop">ABACUS</a></b> (🥇24 · ⭐ 200) - 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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conda install -c conda-forge abacus
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```
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</details>
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<details><summary><b><ahref="https://github.com/deepmodeling/dpgen">DP-GEN</a></b> (🥇23 · ⭐ 340) - The deep potential generator to generate a deep-learning based model of interatomic potential energy and force field. <code><ahref="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>
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<details><summary><b><ahref="https://github.com/deepmodeling/dpgen">DP-GEN</a></b> (🥇23 · ⭐ 350) - The deep potential generator to generate a deep-learning based model of interatomic potential energy and force field. <code><ahref="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>
<details><summary><b><ahref="https://github.com/deepmodeling/dpdata">dpdata</a></b> (🥇22 · ⭐ 210 · 📉) - 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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<details><summary><b><ahref="https://github.com/deepmodeling/dpdata">dpdata</a></b> (🥇23 · ⭐ 210 · 📈) - 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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```
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</details>
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<details><summary><b><ahref="https://github.com/deepmodeling/dpdispatcher">dpdispatcher</a></b> (🥈21 · ⭐ 52) - 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> (🥈21 · ⭐ 51) - 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> (🥈17 · ⭐ 6) - Argument processing for the deep modeling project. <code><ahref="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>
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conda install -c conda-forge dargs
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```
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</details>
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<details><summary><b><ahref="https://github.com/deepmodeling/DeePTB">DeePTB</a></b> (🥈16 · ⭐ 77 · 📉) - DeePTB: A deep learning package for tight-binding Hamiltonian 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 · ⭐ 77) - DeePTB: A deep learning package for tight-binding Hamiltonian with ab initio accuracy. <code><ahref="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>
<details><summary><b><ahref="https://github.com/deepmodeling/dpgen2">DPGEN2</a></b> (🥈16 · ⭐ 40) - 2nd generation of the Deep Potential GENerator. <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._
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- <b><ahref="https://github.com/deepmodeling/dpdata">dpdata</a></b> (🥇23 · ⭐ 210 · 📈) - A Python package for manipulating atomistic data of software in computational science. <code><ahref="http://bit.ly/37RvQcA">LGPL-3.0</a></code>
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- <b><ahref="https://github.com/deepmodeling/reacnetgenerator">reacnetgenerator</a></b> (🥈20 · ⭐ 88 · 📈) - an automatic reaction network generator for reactive molecular dynamics simulation. <code><ahref="http://bit.ly/37RvQcA">LGPL-3.0</a></code>
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