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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 · ⭐ 1.3K) - 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> (🥇28 · ⭐ 1.3K · 📉) - 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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docker pull deepmodeling/deepmd-kit
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</details>
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<details><summary><b><ahref="https://github.com/deepmodeling/dpgen">DP-GEN</a></b> (🥇24 · ⭐ 250) - 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 · ⭐ 260 · 📉) - 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/abacus-develop">ABACUS</a></b> (🥇22 · ⭐ 130) - 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/dpdispatcher">dpdispatcher</a></b> (🥇23 · ⭐ 35 · 📈) - 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/dpdispatcher">dpdispatcher</a></b> (🥇22 · ⭐ 35) - 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/abacus-develop">ABACUS</a></b> (🥈22 · ⭐ 130) - 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/dpgui">DP-GUI</a></b> (🥈16 · ⭐ 7) - A web-based GUI for user inputs. <code><ahref="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>
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<details><summary><b><ahref="https://github.com/deepmodeling/deepflame-dev">DeepFlame</a></b> (🥈16 · ⭐ 98 · 📈) - A deep learning empowered open-source platform for reacting flow simulations. <code><ahref="http://bit.ly/2M0xdwT">GPL-3.0</a></code></summary>
<details><summary><b><ahref="https://github.com/deepmodeling/deepflame-dev">DeepFlame</a></b> (🥈15 · ⭐ 95 · 📈) - A deep learning empowered open-source platform for reacting flow simulations. <code><ahref="http://bit.ly/2M0xdwT">GPL-3.0</a></code></summary>
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<details><summary><b><ahref="https://github.com/deepmodeling/dpgui">DP-GUI</a></b> (🥈16 · ⭐ 7) - A web-based GUI for user inputs. <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 · ⭐ 120) - 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/dpgen2">DPGEN2</a></b> (🥈12 · ⭐ 21 · 📉) - 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/DeePTB">DeePTB</a></b> (🥈12 · ⭐ 25 · 🐣) - 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/dpgen2">DPGEN2</a></b> (🥈12 · ⭐ 21) - 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> (🥉11 · ⭐ 25 · 🐣) - 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 · ⭐ 95 · 💤) - 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/docs">docs</a></b> (🥉6 · ⭐ 3 · 📉) - The home page of DeepModeling documentation. <code><ahref="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>
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<details><summary><b><ahref="https://github.com/deepmodeling/docs">docs</a></b> (🥉6 · ⭐ 3) - The home page of DeepModeling documentation. <code><ahref="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>
<details><summary><b><ahref="https://github.com/deepmodeling/DeepH-pack">DeepH-pack</a></b> (🥉5 · ⭐ 10) - Deep neural networks for density functional theory Hamiltonian. <code><ahref="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>
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<details><summary><b><ahref="https://github.com/deepmodeling/DeepH-pack">DeepH-pack</a></b> (🥉4 · ⭐ 10 · 📉) - Deep neural networks for density functional theory Hamiltonian. <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/dpdispatcher">dpdispatcher</a></b> (🥇23 · ⭐ 35 · 📈) - 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>
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- <b><ahref="https://github.com/deepmodeling/deepflame-dev">DeepFlame</a></b> (🥈16 · ⭐ 98 · 📈) - A deep learning empowered open-source platform for reacting flow simulations. <code><ahref="http://bit.ly/2M0xdwT">GPL-3.0</a></code>
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- <b><ahref="https://github.com/deepmodeling/DeePTB">DeePTB</a></b> (🥈12 · ⭐ 25 · 🐣) - DeePTB: A deep learning package for tight-binding approach with ab initio accuracy. <code><ahref="http://bit.ly/37RvQcA">LGPL-3.0</a></code>
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## 📉 Trending Down
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_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/deepmd-kit">DeePMD-kit</a></b> (🥇28 · ⭐ 1.3K · 📉) - A deep learning package for many-body potential energy representation and molecular dynamics. <code><ahref="http://bit.ly/37RvQcA">LGPL-3.0</a></code>
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- <b><ahref="https://github.com/deepmodeling/dpgen">DP-GEN</a></b> (🥇23 · ⭐ 260 · 📉) - 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>
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- <b><ahref="https://github.com/deepmodeling/DeepH-pack">DeepH-pack</a></b> (🥉4 · ⭐ 10 · 📉) - Deep neural networks for density functional theory Hamiltonian. <code><ahref="http://bit.ly/37RvQcA">LGPL-3.0</a></code>
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