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Update best-of list for version 2023.12.14
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README.md

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@@ -46,20 +46,20 @@ This curated list contains 33 awesome open-source projects with a total of 2.6K
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<details><summary><b><a href="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><a href="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>
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- [GitHub](https://github.com/deepmodeling/deepmd-kit) (👨‍💻 64 · 🔀 440 · 📥 29K · 📦 12 · 📋 480 - 6% open · ⏱️ 27.10.2023):
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- [GitHub](https://github.com/deepmodeling/deepmd-kit) (👨‍💻 64 · 🔀 440 · 📥 30K · 📦 12 · 📋 480 - 5% open · ⏱️ 27.10.2023):
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```
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git clone https://github.com/deepmodeling/deepmd-kit
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```
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- [PyPi](https://pypi.org/project/deepmd-kit) (📥 950 / month):
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- [PyPi](https://pypi.org/project/deepmd-kit) (📥 1K / month):
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```
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pip install deepmd-kit
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```
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- [Conda](https://anaconda.org/conda-forge/deepmd-kit) (📥 440K · ⏱️ 28.11.2023):
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```
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conda install -c conda-forge deepmd-kit
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```
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- [npm](https://www.npmjs.com/package/deepmd-kit) (📥 25 / month):
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- [npm](https://www.npmjs.com/package/deepmd-kit) (📥 9 / month):
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```
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npm install deepmd-kit
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```
@@ -75,7 +75,7 @@ This curated list contains 33 awesome open-source projects with a total of 2.6K
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```
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git clone https://github.com/deepmodeling/dpgen
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```
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- [PyPi](https://pypi.org/project/dpgen) (📥 510 / month):
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- [PyPi](https://pypi.org/project/dpgen) (📥 490 / month):
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```
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pip install dpgen
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```
@@ -84,14 +84,14 @@ This curated list contains 33 awesome open-source projects with a total of 2.6K
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conda install -c conda-forge dpgen
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```
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</details>
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<details><summary><b><a href="https://github.com/deepmodeling/dpdata">dpdata</a></b> (🥇23 · ⭐ 150) - Manipulating multiple atomic simulation data formats, including DeePMD-kit, VASP, LAMMPS, ABACUS, etc. <code><a href="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>
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<details><summary><b><a href="https://github.com/deepmodeling/dpdata">dpdata</a></b> (🥇23 · ⭐ 160) - Manipulating multiple atomic simulation data formats, including DeePMD-kit, VASP, LAMMPS, ABACUS, etc. <code><a href="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>
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- [GitHub](https://github.com/deepmodeling/dpdata) (👨‍💻 51 · 🔀 110 · 📦 110 · 📋 77 - 14% open · ⏱️ 31.10.2023):
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- [GitHub](https://github.com/deepmodeling/dpdata) (👨‍💻 51 · 🔀 110 · 📦 110 · 📋 77 - 12% open · ⏱️ 31.10.2023):
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```
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git clone https://github.com/deepmodeling/dpdata
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```
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- [PyPi](https://pypi.org/project/dpdata) (📥 4.3K / month):
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- [PyPi](https://pypi.org/project/dpdata) (📥 5K / month):
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```
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pip install dpdata
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```
@@ -106,32 +106,32 @@ This curated list contains 33 awesome open-source projects with a total of 2.6K
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</details>
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<details><summary><b><a href="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><a href="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>
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- [GitHub](https://github.com/deepmodeling/abacus-develop) (👨‍💻 90 · 🔀 86 · 📋 1K - 12% open · ⏱️ 07.12.2023):
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- [GitHub](https://github.com/deepmodeling/abacus-develop) (👨‍💻 90 · 🔀 87 · 📋 1K - 13% open · ⏱️ 14.12.2023):
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```
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git clone https://github.com/deepmodeling/abacus-develop
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```
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- [Conda](https://anaconda.org/conda-forge/abacus) (📥 7.9K · ⏱️ 06.12.2023):
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- [Conda](https://anaconda.org/conda-forge/abacus) (📥 8.5K · ⏱️ 06.12.2023):
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```
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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><a href="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><a href="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>
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- [GitHub](https://github.com/deepmodeling/dpdispatcher) (👨‍💻 42 · 🔀 46 · 📦 42 · 📋 58 - 18% open · ⏱️ 20.11.2023):
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- [GitHub](https://github.com/deepmodeling/dpdispatcher) (👨‍💻 42 · 🔀 46 · 📦 42 · 📋 59 - 18% open · ⏱️ 13.12.2023):
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```
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git clone https://github.com/deepmodeling/dpdispatcher
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```
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- [PyPi](https://pypi.org/project/dpdispatcher) (📥 1.6K / month):
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- [PyPi](https://pypi.org/project/dpdispatcher) (📥 2.1K / month):
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```
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pip install dpdispatcher
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```
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- [Conda](https://anaconda.org/conda-forge/dpdispatcher) (📥 5.9K · ⏱️ 21.11.2023):
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- [Conda](https://anaconda.org/conda-forge/dpdispatcher) (📥 6K · ⏱️ 21.11.2023):
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```
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conda install -c conda-forge dpdispatcher
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```
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- [Docker Hub](https://hub.docker.com/r/dptechnology/dpdispatcher) (📥 82K · ⏱️ 20.11.2023):
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- [Docker Hub](https://hub.docker.com/r/dptechnology/dpdispatcher) (📥 83K · ⏱️ 20.11.2023):
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```
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docker pull dptechnology/dpdispatcher
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```
@@ -170,27 +170,27 @@ This curated list contains 33 awesome open-source projects with a total of 2.6K
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</details>
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<details><summary><b><a href="https://github.com/deepmodeling/dpgui">DP-GUI</a></b> (🥈16 · ⭐ 7) - A web-based GUI for user inputs. <code><a href="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>
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- [GitHub](https://github.com/deepmodeling/dpgui) (👨‍💻 3 · 🔀 3 · 📦 4 · ⏱️ 20.11.2023):
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- [GitHub](https://github.com/deepmodeling/dpgui) (👨‍💻 3 · 🔀 3 · 📦 4 · ⏱️ 11.12.2023):
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```
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git clone https://github.com/deepmodeling/dpgui
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```
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- [PyPi](https://pypi.org/project/dpgui) (📥 5.7K / month):
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- [PyPi](https://pypi.org/project/dpgui) (📥 4.9K / month):
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```
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pip install dpgui
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```
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</details>
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<details><summary><b><a href="https://github.com/deepmodeling/deepflame-dev">DeepFlame</a></b> (🥈14 · ⭐ 90 · 📉) - A deep learning empowered open-source platform for reacting flow simulations. <code><a href="http://bit.ly/2M0xdwT">GPL-3.0</a></code></summary>
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<details><summary><b><a href="https://github.com/deepmodeling/deepflame-dev">DeepFlame</a></b> (🥈14 · ⭐ 92) - A deep learning empowered open-source platform for reacting flow simulations. <code><a href="http://bit.ly/2M0xdwT">GPL-3.0</a></code></summary>
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- [GitHub](https://github.com/deepmodeling/deepflame-dev) (👨‍💻 20 · 🔀 50 · 📋 34 - 20% open · ⏱️ 20.11.2023):
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- [GitHub](https://github.com/deepmodeling/deepflame-dev) (👨‍💻 20 · 🔀 50 · 📋 35 - 22% open · ⏱️ 20.11.2023):
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```
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git clone https://github.com/deepmodeling/deepflame-dev
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```
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</details>
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<details><summary><b><a href="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><a href="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>
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- [GitHub](https://github.com/deepmodeling/DMFF) (👨‍💻 13 · 🔀 32 · 📋 21 - 33% open · ⏱️ 09.11.2023):
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- [GitHub](https://github.com/deepmodeling/DMFF) (👨‍💻 13 · 🔀 33 · 📋 21 - 33% open · ⏱️ 09.11.2023):
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git clone https://github.com/deepmodeling/DMFF
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```
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git clone https://github.com/deepmodeling/dpgen2
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```
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- [PyPi](https://pypi.org/project/dpgen2) (📥 42 / month):
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- [PyPi](https://pypi.org/project/dpgen2) (📥 50 / month):
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```
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pip install dpgen2
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```
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docker pull dptechnology/dpgen2
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```
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</details>
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<details><summary><b><a href="https://github.com/deepmodeling/APEX">APEX</a></b> (🥈13 · ⭐ 11 · 📉) - APEX: Alloy Properties EXplorer using simulations. <code><a href="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>
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<details><summary><b><a href="https://github.com/deepmodeling/APEX">APEX</a></b> (🥈13 · ⭐ 11) - APEX: Alloy Properties EXplorer using simulations. <code><a href="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>
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- [GitHub](https://github.com/deepmodeling/APEX) (👨‍💻 4 · 🔀 8 · ⏱️ 17.11.2023):
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```
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git clone https://github.com/deepmodeling/APEX
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```
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- [PyPi](https://pypi.org/project/apex-flow) (📥 91 / month):
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- [PyPi](https://pypi.org/project/apex-flow) (📥 73 / month):
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```
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pip install apex-flow
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```
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pip install deepmodeling_sphinx
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```
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</details>
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<details><summary><b><a href="https://github.com/deepmodeling/rid-kit">rid-kit</a></b> (🥉11 · ⭐ 39 · 📉) - Reinforced dynamics. <code><a href="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>
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<details><summary><b><a href="https://github.com/deepmodeling/rid-kit">rid-kit</a></b> (🥉11 · ⭐ 39) - Reinforced dynamics. <code><a href="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>
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- [GitHub](https://github.com/deepmodeling/rid-kit) (👨‍💻 14 · 🔀 20 · 📥 140 · ⏱️ 22.09.2023):
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```
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git clone https://github.com/deepmodeling/rid-kit
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```
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- [PyPi](https://pypi.org/project/rid-kit) (📥 76 / month):
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- [PyPi](https://pypi.org/project/rid-kit) (📥 100 / month):
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```
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pip install rid-kit
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```
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</details>
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<details><summary><b><a href="https://github.com/deepmodeling/DeePTB">DeePTB</a></b> (🥉11 · ⭐ 21 · 🐣) - DeePTB: A deep learning package for tight-binding approach with ab initio accuracy. <code><a href="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>
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- [GitHub](https://github.com/deepmodeling/DeePTB) (👨‍💻 5 · 🔀 9 · 📋 16 - 37% open · ⏱️ 17.11.2023):
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- [GitHub](https://github.com/deepmodeling/DeePTB) (👨‍💻 5 · 🔀 9 · 📋 16 - 37% open · ⏱️ 11.12.2023):
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```
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git clone https://github.com/deepmodeling/DeePTB
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```
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git clone https://github.com/deepmodeling/args
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```
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- [npm](https://www.npmjs.com/package/@deepmodeling/args) (📥 300 / month):
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- [npm](https://www.npmjs.com/package/@deepmodeling/args) (📥 170 / month):
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```
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```
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git clone https://github.com/deepmodeling/fealpy
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```
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- [PyPi](https://pypi.org/project/fealpy) (📥 66 / month):
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- [PyPi](https://pypi.org/project/fealpy) (📥 63 / month):
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```
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pip install fealpy
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docker pull dptechnology/unifold
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</details>
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<details><summary><b><a href="https://github.com/deepmodeling/dpti">dpti</a></b> (🥉8 · ⭐ 13 · 📈) - <code><a href="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>
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<details><summary><b><a href="https://github.com/deepmodeling/dpti">dpti</a></b> (🥉8 · ⭐ 13) - <code><a href="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>
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- [GitHub](https://github.com/deepmodeling/dpti) (👨‍💻 13 · 🔀 15 · ⏱️ 05.07.2023):
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```
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git clone https://github.com/deepmodeling/dpti
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```
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- [PyPi](https://pypi.org/project/dpti) (📥 34 / month):
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- [PyPi](https://pypi.org/project/dpti) (📥 31 / month):
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```
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pip install dpti
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git clone https://github.com/deepmodeling/blog
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</details>
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<details><summary><b><a href="https://github.com/deepmodeling/community">community</a></b> (🥉7 · ⭐ 72) - DeepModeling community content. <code>Unlicensed</code></summary>
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<details><summary><b><a href="https://github.com/deepmodeling/community">community</a></b> (🥉7 · ⭐ 73) - DeepModeling community content. <code>Unlicensed</code></summary>
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- [GitHub](https://github.com/deepmodeling/community) (👨‍💻 14 · 🔀 15 · 📋 5 - 20% open · ⏱️ 07.11.2023):
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- [GitHub](https://github.com/deepmodeling/community) (👨‍💻 14 · 🔀 14 · 📋 5 - 20% open · ⏱️ 07.11.2023):
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```
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git clone https://github.com/deepmodeling/community
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git clone https://github.com/deepmodeling/docs
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```
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</details>
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<details><summary><b><a href="https://github.com/deepmodeling/fpop">fpop</a></b> (🥉6 · ⭐ 1 · 💤) - <code><a href="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>
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- [GitHub](https://github.com/deepmodeling/fpop) (👨‍💻 2 · 🔀 5 · 📦 3 · ⏱️ 26.04.2023):
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```
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git clone https://github.com/deepmodeling/fpop
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```
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- [PyPi](https://pypi.org/project/fpop) (📥 170 / month):
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```
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pip install fpop
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```
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</details>
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<details><summary><b><a href="https://github.com/deepmodeling/AI4Science101">AI4Science101</a></b> (🥉5 · ⭐ 72 · 💤) - AI for Science. <code>Unlicensed</code></summary>
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- [GitHub](https://github.com/deepmodeling/AI4Science101) (👨‍💻 5 · 🔀 12 · ⏱️ 04.09.2022):
@@ -368,18 +380,6 @@ This curated list contains 33 awesome open-source projects with a total of 2.6K
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git clone https://github.com/deepmodeling/DeepH-pack
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```
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<details><summary><b><a href="https://github.com/deepmodeling/fpop">fpop</a></b> (🥉5 · ⭐ 1 · 💤) - <code><a href="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>
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- [GitHub](https://github.com/deepmodeling/fpop) (👨‍💻 2 · 🔀 5 · 📦 3 · ⏱️ 26.04.2023):
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```
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git clone https://github.com/deepmodeling/fpop
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```
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- [PyPi](https://pypi.org/project/fpop) (📥 130 / month):
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```
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pip install fpop
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```
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</details>
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<details><summary><b><a href="https://github.com/deepmodeling/tutorials-cn">tutorials-cn</a></b> (🥉4 · ⭐ 3 · 💤) - <code><a href="https://tldrlegal.com/search?q=LGPL-2.1">LGPL-2.1</a></code></summary>
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- [GitHub](https://github.com/deepmodeling/tutorials-cn) (👨‍💻 4 · 🔀 5 · ⏱️ 29.12.2022):

history/2023-12-14_changes.md

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## 📈 Trending Up
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_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><a href="https://github.com/deepmodeling/fpop">fpop</a></b> (🥉6 · ⭐ 1 · 💤) - <code><a href="http://bit.ly/37RvQcA">LGPL-3.0</a></code>
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