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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> (🥇28 · ⭐ 1.6K) - 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>
<details><summary><b><ahref="https://github.com/deepmodeling/dpgen">DP-GEN</a></b> (🥇24 · ⭐ 330) - 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> (🥇24 · ⭐ 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/abacus-develop">ABACUS</a></b> (🥇24 · ⭐ 190) - 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>
<details><summary><b><ahref="https://github.com/deepmodeling/dpdispatcher">dpdispatcher</a></b> (🥈22 · ⭐ 49) - 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/dpgen">DP-GEN</a></b> (🥇23 · ⭐ 330 · 📉) - 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/dpdispatcher">dpdispatcher</a></b> (🥈21 · ⭐ 49 · 📉) - 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/dpgen2">DPGEN2</a></b> (🥈16 · ⭐ 36 · 📈) - 2nd generation of the Deep Potential GENerator. <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> (🥈16 · ⭐ 37) - 2nd generation of the Deep Potential GENerator. <code><ahref="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>
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docker pull dptechnology/dpgen2
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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> (🥈15 · ⭐ 67 · 📈) - 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> (🥈15 · ⭐ 68) - 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/jax-fem">JAX-FEM</a></b> (🥈13 · ⭐ 360) - Differentiable Finite Element Method with JAX. <code><ahref="http://bit.ly/2M0xdwT">GPL-3.0</a></code></summary>
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<details><summary><b><ahref="https://github.com/deepmodeling/DMFF">DMFF</a></b> (🥈14 · ⭐ 170 · 💤) - DMFF (Differentiable Molecular Force Field) is a Jax-based python package that provides a full differentiable.. <code><ahref="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>
<details><summary><b><ahref="https://github.com/deepmodeling/DMFF">DMFF</a></b> (🥈13 · ⭐ 170 · 💤) - DMFF (Differentiable Molecular Force Field) is a Jax-based python package that provides a full differentiable.. <code><ahref="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>
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<details><summary><b><ahref="https://github.com/deepmodeling/jax-fem">JAX-FEM</a></b> (🥈13 · ⭐ 360) - Differentiable Finite Element Method with JAX. <code><ahref="http://bit.ly/2M0xdwT">GPL-3.0</a></code></summary>
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npm install @deepmodeling/args
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```
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<details><summary><b><ahref="https://github.com/deepmodeling/deepks-kit">DeePKS-kit</a></b> (🥉9 · ⭐ 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>
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<details><summary><b><ahref="https://github.com/deepmodeling/deepks-kit">DeePKS-kit</a></b> (🥉9 · ⭐ 110 · 💤) - 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>
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