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Update best-of list for version 2023.11.16
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README.md

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<a href="https://github.com/deepmodeling/deepmodeling-projects/releases" title="Best-of Updates"><img src="https://img.shields.io/github/release-date/deepmodeling/deepmodeling-projects?color=green&label=updated"></a>
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</p>
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This curated list contains 33 awesome open-source projects with a total of 2.5K stars grouped into 0 categories. All projects are ranked by a project-quality score, which is calculated based on various metrics automatically collected from GitHub and different package managers. If you like to add or update projects, feel free to open an [issue](https://github.com/deepmodeling/deepmodeling-projects/issues/new/choose), submit a [pull request](https://github.com/deepmodeling/deepmodeling-projects/pulls), or directly edit the [projects.yaml](https://github.com/deepmodeling/deepmodeling-projects/edit/main/projects.yaml). Contributions are very welcome!
18+
This curated list contains 33 awesome open-source projects with a total of 2.6K stars grouped into 0 categories. All projects are ranked by a project-quality score, which is calculated based on various metrics automatically collected from GitHub and different package managers. If you like to add or update projects, feel free to open an [issue](https://github.com/deepmodeling/deepmodeling-projects/issues/new/choose), submit a [pull request](https://github.com/deepmodeling/deepmodeling-projects/pulls), or directly edit the [projects.yaml](https://github.com/deepmodeling/deepmodeling-projects/edit/main/projects.yaml). Contributions are very welcome!
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> 🧙‍♂️ Discover other [best-of lists](https://best-of.org) or [create your own](https://github.com/best-of-lists/best-of/blob/main/create-best-of-list.md).
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@@ -44,22 +44,22 @@ This curated list contains 33 awesome open-source projects with a total of 2.5K
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<a href="#contents"><img align="right" width="15" height="15" src="https://git.io/JtehR" alt="Back to top"></a>
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<details><summary><b><a href="https://github.com/deepmodeling/deepmd-kit">DeePMD-kit</a></b> (🥇29 · ⭐ 1.2K) - 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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<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 · 📥 28K · 📦 11 · 📋 470 - 5% open · ⏱️ 27.10.2023):
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- [GitHub](https://github.com/deepmodeling/deepmd-kit) (👨‍💻 64 · 🔀 440 · 📥 29K · 📦 12 · 📋 470 - 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) (📥 1.4K / month):
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- [PyPi](https://pypi.org/project/deepmd-kit) (📥 1.2K / 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) (📥 430K · ⏱️ 28.10.2023):
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- [Conda](https://anaconda.org/conda-forge/deepmd-kit) (📥 430K · ⏱️ 15.11.2023):
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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) (📥 210 / month):
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- [npm](https://www.npmjs.com/package/deepmd-kit) (📥 130 / month):
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```
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npm install deepmd-kit
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```
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docker pull deepmodeling/deepmd-kit
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```
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</details>
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<details><summary><b><a href="https://github.com/deepmodeling/dpgen">DP-GEN</a></b> (🥇24 · ⭐ 240 · 📈) - The deep potential generator to generate a deep-learning based model of interatomic potential energy and force field. <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/dpgen">DP-GEN</a></b> (🥇24 · ⭐ 240) - The deep potential generator to generate a deep-learning based model of interatomic potential energy and force field. <code><a href="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>
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- [GitHub](https://github.com/deepmodeling/dpgen) (👨‍💻 62 · 🔀 160 · 📥 1.5K · 📦 4 · 📋 250 - 8% open · ⏱️ 02.11.2023):
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- [GitHub](https://github.com/deepmodeling/dpgen) (👨‍💻 62 · 🔀 160 · 📥 1.5K · 📦 4 · 📋 250 - 7% open · ⏱️ 02.11.2023):
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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) (📥 550 / month):
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- [PyPi](https://pypi.org/project/dpgen) (📥 580 / month):
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```
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pip install dpgen
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```
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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> (🥇24 · ⭐ 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 · ⭐ 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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- [GitHub](https://github.com/deepmodeling/dpdata) (👨‍💻 51 · 🔀 100 · 📦 110 · 📋 76 - 15% 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) (📥 7.2K / month):
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- [PyPi](https://pypi.org/project/dpdata) (📥 6.3K / month):
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```
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pip install dpdata
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```
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docker pull dptechnology/dpdata
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```
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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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<details><summary><b><a href="https://github.com/deepmodeling/abacus-develop">ABACUS</a></b> (🥇22 · ⭐ 120) - 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) (👨‍💻 88 · 🔀 86 · 📋 930 - 11% open · ⏱️ 09.11.2023):
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- [GitHub](https://github.com/deepmodeling/abacus-develop) (👨‍💻 88 · 🔀 86 · 📋 940 - 11% open · ⏱️ 16.11.2023):
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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) (📥 6.1K · ⏱️ 24.10.2023):
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- [Conda](https://anaconda.org/conda-forge/abacus) (📥 6.3K · ⏱️ 24.10.2023):
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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> (🥈21 · ⭐ 33) - 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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<details><summary><b><a href="https://github.com/deepmodeling/dpdispatcher">dpdispatcher</a></b> (🥇22 · ⭐ 34 · 📈) - 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 · ⏱️ 01.11.2023):
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- [GitHub](https://github.com/deepmodeling/dpdispatcher) (👨‍💻 42 · 🔀 46 · 📦 42 · 📋 58 - 18% open · ⏱️ 14.11.2023):
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```
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git clone https://github.com/deepmodeling/dpdispatcher
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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) (📥 5.5K · ⏱️ 22.10.2023):
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- [Conda](https://anaconda.org/conda-forge/dpdispatcher) (📥 5.6K · ⏱️ 15.11.2023):
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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) (📥 79K · ⏱️ 22.10.2023):
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- [Docker Hub](https://hub.docker.com/r/dptechnology/dpdispatcher) (📥 79K · ⏱️ 14.11.2023):
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```
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docker pull dptechnology/dpdispatcher
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```
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</details>
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<details><summary><b><a href="https://github.com/deepmodeling/dflow">dflow</a></b> (🥈18 · ⭐ 42 · 📈) - Dflow is a Python framework for constructing scientific computing workflows (e.g. concurrent learning workflows).. <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/dflow">dflow</a></b> (🥈17 · ⭐ 42 · 📉) - Dflow is a Python framework for constructing scientific computing workflows (e.g. concurrent learning workflows).. <code><a href="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>
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- [GitHub](https://github.com/deepmodeling/dflow) (👨‍💻 21 · 🔀 20 · 📋 32 - 34% open · ⏱️ 09.11.2023):
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- [GitHub](https://github.com/deepmodeling/dflow) (👨‍💻 21 · 🔀 20 · 📋 32 - 34% open · ⏱️ 14.11.2023):
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```
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git clone https://github.com/deepmodeling/dflow
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```
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conda install -c conda-forge dflow
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```
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- [Docker Hub](https://hub.docker.com/r/dptechnology/dflow) (📥 1.8K · ⏱️ 09.11.2023):
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- [Docker Hub](https://hub.docker.com/r/dptechnology/dflow) (📥 1.8K · ⏱️ 14.11.2023):
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```
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docker pull dptechnology/dflow
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```
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</details>
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<details><summary><b><a href="https://github.com/deepmodeling/dpgui">DP-GUI</a></b> (🥈17 · ⭐ 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 · ⏱️ 08.11.2023):
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- [GitHub](https://github.com/deepmodeling/dpgui) (👨‍💻 3 · 🔀 3 · 📦 4 · ⏱️ 09.11.2023):
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```
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```
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git clone https://github.com/deepmodeling/dargs
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```
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- [PyPi](https://pypi.org/project/dargs) (📥 12K / month):
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- [PyPi](https://pypi.org/project/dargs) (📥 13K / month):
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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> (🥈14 · ⭐ 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 · 🔀 7 · ⏱️ 16.10.2023):
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- [GitHub](https://github.com/deepmodeling/APEX) (👨‍💻 4 · 🔀 8 · ⏱️ 16.10.2023):
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```
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```
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- [PyPi](https://pypi.org/project/apex-flow) (📥 250 / month):
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- [PyPi](https://pypi.org/project/apex-flow) (📥 200 / month):
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```
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pip install apex-flow
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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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<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 · 📋 20 - 55% open · ⏱️ 09.11.2023):
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- [GitHub](https://github.com/deepmodeling/DMFF) (👨‍💻 13 · 🔀 32 · 📋 20 - 30% open · ⏱️ 09.11.2023):
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```
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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/rid-kit
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```
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- [PyPi](https://pypi.org/project/rid-kit) (📥 30 / month):
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- [PyPi](https://pypi.org/project/rid-kit) (📥 34 / month):
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```
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pip install rid-kit
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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) (📥 65 / month):
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- [PyPi](https://pypi.org/project/dpgen2) (📥 63 / month):
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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/DeePTB">DeePTB</a></b> (🥉12 · ⭐ 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) (👨‍💻 4 · 🔀 8 · 📋 16 - 37% open · ⏱️ 05.11.2023):
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```
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git clone https://github.com/deepmodeling/DeePTB
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```
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</details>
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<details><summary><b><a href="https://github.com/deepmodeling/deepmodeling_sphinx">deepmodeling_sphinx</a></b> (🥉12 · ⭐ 2) - Sphinx extension for DeepModeling projects. <code><a href="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>
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- [GitHub](https://github.com/deepmodeling/deepmodeling_sphinx) (👨‍💻 4 · 🔀 3 · ⏱️ 31.10.2023):
@@ -256,14 +248,22 @@ This curated list contains 33 awesome open-source projects with a total of 2.5K
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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/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) (👨‍💻 4 · 🔀 9 · 📋 16 - 37% open · ⏱️ 05.11.2023):
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255+
```
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git clone https://github.com/deepmodeling/DeePTB
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```
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</details>
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<details><summary><b><a href="https://github.com/deepmodeling/args">args</a></b> (🥉11 · ⭐ 2) - DeepModeling dargs arguments generation. <code><a href="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>
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- [GitHub](https://github.com/deepmodeling/args) (👨‍💻 2 · 🔀 1 · 📦 4 · ⏱️ 08.11.2023):
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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) (📥 730 / month):
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- [npm](https://www.npmjs.com/package/@deepmodeling/args) (📥 680 / month):
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```
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```
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git clone https://github.com/deepmodeling/deepks-kit
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```
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</details>
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<details><summary><b><a href="https://github.com/deepmodeling/fealpy">fealpy</a></b> (🥉9 · ⭐ 2 · 📉) - Finite Element Analysis Library in Python. <code>Unlicensed</code></summary>
279+
<details><summary><b><a href="https://github.com/deepmodeling/fealpy">fealpy</a></b> (🥉9 · ⭐ 2) - Finite Element Analysis Library in Python. <code>Unlicensed</code></summary>
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- [GitHub](https://github.com/deepmodeling/fealpy) (👨‍💻 56 · ⏱️ 09.09.2023):
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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) (📥 62 / month):
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- [PyPi](https://pypi.org/project/fealpy) (📥 70 / month):
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```
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```
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</details>
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<details><summary><b><a href="https://github.com/deepmodeling/AIS-Square">AIS-Square</a></b> (🥉8 · ⭐ 6 · 📈) - <code><a href="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>
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- [GitHub](https://github.com/deepmodeling/AIS-Square) (👨‍💻 8 · 🔀 5 · 📋 4 - 75% open · ⏱️ 15.11.2023):
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295+
```
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git clone https://github.com/deepmodeling/AIS-Square
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```
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</details>
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<details><summary><b><a href="https://github.com/deepmodeling/Uni-Fold">Uni-Fold</a></b> (🥉7 · ⭐ 90 · 💤) - <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>
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- [GitHub](https://github.com/deepmodeling/Uni-Fold) (👨‍💻 3 · 🔀 18 · ⏱️ 18.08.2022):
@@ -308,15 +316,7 @@ This curated list contains 33 awesome open-source projects with a total of 2.5K
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git clone https://github.com/deepmodeling/community
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```
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</details>
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<details><summary><b><a href="https://github.com/deepmodeling/AIS-Square">AIS-Square</a></b> (🥉7 · ⭐ 6) - <code><a href="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>
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- [GitHub](https://github.com/deepmodeling/AIS-Square) (👨‍💻 8 · 🔀 5 · 📋 4 - 75% open · ⏱️ 25.10.2023):
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```
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git clone https://github.com/deepmodeling/AIS-Square
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```
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</details>
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<details><summary><b><a href="https://github.com/deepmodeling/blog">Blog</a></b> (🥉7 · ⭐ 1 · 📈) - DeepModeling Blog. <code><a href="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>
319+
<details><summary><b><a href="https://github.com/deepmodeling/blog">Blog</a></b> (🥉7 · ⭐ 1) - DeepModeling Blog. <code><a href="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>
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- [GitHub](https://github.com/deepmodeling/blog) (👨‍💻 5 · 🔀 5 · ⏱️ 08.11.2023):
322322

@@ -347,14 +347,14 @@ This curated list contains 33 awesome open-source projects with a total of 2.5K
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```
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git clone https://github.com/deepmodeling/fpop
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```
350-
- [PyPi](https://pypi.org/project/fpop) (📥 450 / month):
350+
- [PyPi](https://pypi.org/project/fpop) (📥 280 / month):
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```
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pip install fpop
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```
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</details>
355-
<details><summary><b><a href="https://github.com/deepmodeling/AI4Science101">AI4Science101</a></b> (🥉5 · ⭐ 73 · 💤) - AI for Science. <code>Unlicensed</code></summary>
355+
<details><summary><b><a href="https://github.com/deepmodeling/AI4Science101">AI4Science101</a></b> (🥉5 · ⭐ 74 · 💤) - AI for Science. <code>Unlicensed</code></summary>
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- [GitHub](https://github.com/deepmodeling/AI4Science101) (👨‍💻 5 · 🔀 11 · ⏱️ 04.09.2022):
357+
- [GitHub](https://github.com/deepmodeling/AI4Science101) (👨‍💻 5 · 🔀 12 · ⏱️ 04.09.2022):
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```
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git clone https://github.com/deepmodeling/AI4Science101

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