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Merge pull request #23 from deepmodeling/update/2024.02.08
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‎README.md

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@@ -46,20 +46,20 @@ This curated list contains 34 awesome open-source projects with a total of 2.8K
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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) (👨‍💻 65 · 🔀 450 · 📥 32K · 📦 13 · 📋 500 - 6% open · ⏱️ 23.01.2024):
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- [GitHub](https://github.com/deepmodeling/deepmd-kit) (👨‍💻 65 · 🔀 450 · 📥 32K · 📦 13 · 📋 510 - 6% open · ⏱️ 23.01.2024):
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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) (📥 1.3K / month):
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- [PyPi](https://pypi.org/project/deepmd-kit) (📥 1.6K / 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) (📥 450K · ⏱️ 23.01.2024):
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- [Conda](https://anaconda.org/conda-forge/deepmd-kit) (📥 460K · ⏱️ 05.02.2024):
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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) (📥 24 / month):
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- [npm](https://www.npmjs.com/package/deepmd-kit) (📥 20 / month):
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```
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npm install deepmd-kit
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```
@@ -70,12 +70,12 @@ This curated list contains 34 awesome open-source projects with a total of 2.8K
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</details>
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<details><summary><b><a href="https://github.com/deepmodeling/dpdata">dpdata</a></b> (🥇23 · ⭐ 170) - 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 · 📋 81 - 13% open · ⏱️ 31.10.2023):
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- [GitHub](https://github.com/deepmodeling/dpdata) (👨‍💻 51 · 🔀 110 · 📦 110 · 📋 81 - 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) (📥 12K / month):
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- [PyPi](https://pypi.org/project/dpdata) (📥 16K / month):
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```
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pip install dpdata
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```
@@ -95,7 +95,7 @@ This curated list contains 34 awesome open-source projects with a total of 2.8K
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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) (📥 400 / month):
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- [PyPi](https://pypi.org/project/dpgen) (📥 410 / month):
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```
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pip install dpgen
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```
@@ -106,39 +106,39 @@ This curated list contains 34 awesome open-source projects with a total of 2.8K
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</details>
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<details><summary><b><a href="https://github.com/deepmodeling/abacus-develop">ABACUS</a></b> (🥇22 · ⭐ 140) - 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) (👨‍💻 91 · 🔀 87 · 📋 1.1K - 12% open · ⏱️ 01.02.2024):
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- [GitHub](https://github.com/deepmodeling/abacus-develop) (👨‍💻 91 · 🔀 87 · 📋 1.2K - 12% open · ⏱️ 07.02.2024):
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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) (📥 15K · ⏱️ 01.02.2024):
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- [Conda](https://anaconda.org/conda-forge/abacus) (📥 16K · ⏱️ 01.02.2024):
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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 · ⭐ 36) - 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) (👨‍💻 43 · 🔀 48 · 📦 43 · 📋 64 - 20% open · ⏱️ 22.01.2024):
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- [GitHub](https://github.com/deepmodeling/dpdispatcher) (👨‍💻 43 · 🔀 48 · 📦 45 · 📋 65 - 21% open · ⏱️ 22.01.2024):
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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) (📥 1.9K / month):
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- [PyPi](https://pypi.org/project/dpdispatcher) (📥 1.6K / 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) (📥 6.5K · ⏱️ 21.01.2024):
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- [Conda](https://anaconda.org/conda-forge/dpdispatcher) (📥 6.6K · ⏱️ 21.01.2024):
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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) (📥 87K · ⏱️ 21.01.2024):
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- [Docker Hub](https://hub.docker.com/r/dptechnology/dpdispatcher) (📥 88K · ⏱️ 21.01.2024):
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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> (🥈17 · ⭐ 47) - 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> (🥈18 · ⭐ 47 · 📈) - 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 · 📋 34 - 38% open · ⏱️ 15.01.2024):
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- [GitHub](https://github.com/deepmodeling/dflow) (👨‍💻 21 · 🔀 21 · 📋 34 - 38% open · ⏱️ 08.02.2024):
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```
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git clone https://github.com/deepmodeling/dflow
@@ -151,7 +151,7 @@ This curated list contains 34 awesome open-source projects with a total of 2.8K
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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) (📥 3.3K · ⏱️ 15.01.2024):
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- [Docker Hub](https://hub.docker.com/r/dptechnology/dflow) (📥 3.3K · ⏱️ 08.02.2024):
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```
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docker pull dptechnology/dflow
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```
@@ -164,26 +164,26 @@ This curated list contains 34 awesome open-source projects with a total of 2.8K
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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/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>
167+
<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 · 🔀 4 · 📦 5 · ⏱️ 24.01.2024):
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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) (📥 12K / month):
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- [PyPi](https://pypi.org/project/dpgui) (📥 16K / 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/dargs">dargs</a></b> (🥈16 · ⭐ 5 · 📈) - Argument processing for the deep modeling project. <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/dargs">dargs</a></b> (🥈16 · ⭐ 5) - Argument processing for the deep modeling project. <code><a href="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>
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- [GitHub](https://github.com/deepmodeling/dargs) (👨‍💻 5 · 🔀 1 · 📦 110 · 📋 7 - 14% open · ⏱️ 01.11.2023):
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- [GitHub](https://github.com/deepmodeling/dargs) (👨‍💻 5 · 🔀 1 · 📦 110 · 📋 7 - 14% open · ⏱️ 08.02.2024):
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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) (📥 19K / month):
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- [PyPi](https://pypi.org/project/dargs) (📥 24K / month):
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```
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pip install dargs
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```
@@ -199,55 +199,55 @@ This curated list contains 34 awesome open-source projects with a total of 2.8K
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```
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git clone https://github.com/deepmodeling/DMFF
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```
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- [Conda](https://anaconda.org/conda-forge/dmff) (📥 97 · ⏱️ 06.01.2024):
202+
- [Conda](https://anaconda.org/conda-forge/dmff) (📥 110 · ⏱️ 06.01.2024):
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```
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conda install -c conda-forge dmff
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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 · ⭐ 25) - 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>
208-
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- [GitHub](https://github.com/deepmodeling/DeePTB) (👨‍💻 5 · 🔀 9 · 📋 19 - 26% open · ⏱️ 01.02.2024):
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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/dpgen2">DPGEN2</a></b> (🥈12 · ⭐ 23) - 2nd generation of the Deep Potential GENerator. <code><a href="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>
207+
<details><summary><b><a href="https://github.com/deepmodeling/dpgen2">DPGEN2</a></b> (🥈13 · ⭐ 24 · 📈) - 2nd generation of the Deep Potential GENerator. <code><a href="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>
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- [GitHub](https://github.com/deepmodeling/dpgen2) (👨‍💻 10 · 🔀 15 · 📦 1 · 📋 23 - 43% open · ⏱️ 30.01.2024):
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- [GitHub](https://github.com/deepmodeling/dpgen2) (👨‍💻 10 · 🔀 15 · 📦 1 · 📋 24 - 41% open · ⏱️ 02.02.2024):
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```
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```
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- [PyPi](https://pypi.org/project/dpgen2) (📥 71 / month):
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- [PyPi](https://pypi.org/project/dpgen2) (📥 79 / month):
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```
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pip install dpgen2
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```
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- [Docker Hub](https://hub.docker.com/r/dptechnology/dpgen2) (📥 2.4K · ⏱️ 30.01.2024):
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- [Docker Hub](https://hub.docker.com/r/dptechnology/dpgen2) (📥 2.4K · ⏱️ 02.02.2024):
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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/rid-kit">rid-kit</a></b> (🥈11 · ⭐ 41 · 📉) - Reinforced dynamics. <code><a href="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>
223+
<details><summary><b><a href="https://github.com/deepmodeling/rid-kit">rid-kit</a></b> (🥈12 · ⭐ 41 · 📈) - 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) (📥 88 / month):
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- [PyPi](https://pypi.org/project/rid-kit) (📥 71 / month):
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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> (🥈11 · ⭐ 2 · 📉) - Sphinx extension for DeepModeling projects. <code><a href="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>
235+
<details><summary><b><a href="https://github.com/deepmodeling/DeePTB">DeePTB</a></b> (🥈12 · ⭐ 25) - 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>
236+
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- [GitHub](https://github.com/deepmodeling/DeePTB) (👨‍💻 5 · 🔀 10 · 📋 20 - 10% open · ⏱️ 02.02.2024):
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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> (🥉11 · ⭐ 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) (👨‍💻 5 · 🔀 5 · ⏱️ 17.12.2023):
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```
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git clone https://github.com/deepmodeling/deepmodeling_sphinx
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```
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- [PyPi](https://pypi.org/project/deepmodeling_sphinx) (📥 2.1K / month):
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- [PyPi](https://pypi.org/project/deepmodeling_sphinx) (📥 2.4K / month):
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```
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pip install deepmodeling_sphinx
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```
@@ -260,33 +260,33 @@ This curated list contains 34 awesome open-source projects with a total of 2.8K
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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/APEX">APEX</a></b> (🥉10 · ⭐ 10 · 📉) - APEX: Alloy Properties EXplorer using simulations. <code><a href="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>
263+
<details><summary><b><a href="https://github.com/deepmodeling/APEX">APEX</a></b> (🥉10 · ⭐ 10) - 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 · 🔀 9 · ⏱️ 17.11.2023):
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- [GitHub](https://github.com/deepmodeling/APEX) (👨‍💻 4 · 🔀 10 · ⏱️ 17.11.2023):
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```
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git clone https://github.com/deepmodeling/APEX
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```
270-
- [PyPi](https://pypi.org/project/apex-flow) (📥 56 / month):
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- [PyPi](https://pypi.org/project/apex-flow) (📥 67 / 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/args">args</a></b> (🥉10 · ⭐ 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 · 📦 5 · ⏱️ 22.01.2024):
277+
- [GitHub](https://github.com/deepmodeling/args) (👨‍💻 2 · 🔀 1 · 📦 5 · ⏱️ 05.02.2024):
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```
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git clone https://github.com/deepmodeling/args
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```
282-
- [npm](https://www.npmjs.com/package/@deepmodeling/args) (📥 300 / month):
282+
- [npm](https://www.npmjs.com/package/@deepmodeling/args) (📥 190 / month):
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```
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npm install @deepmodeling/args
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```
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</details>
287-
<details><summary><b><a href="https://github.com/deepmodeling/jax-fem">JAX-FEM</a></b> (🥉9 · ⭐ 64 · 🐣) - Differentiable Finite Element Method with JAX. <code><a href="http://bit.ly/2M0xdwT">GPL-3.0</a></code></summary>
287+
<details><summary><b><a href="https://github.com/deepmodeling/jax-fem">JAX-FEM</a></b> (🥉9 · ⭐ 71 · 🐣) - Differentiable Finite Element Method with JAX. <code><a href="http://bit.ly/2M0xdwT">GPL-3.0</a></code></summary>
288288

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- [GitHub](https://github.com/deepmodeling/jax-fem) (👨‍💻 7 · 🔀 13 · 📋 16 - 81% open · ⏱️ 20.01.2024):
289+
- [GitHub](https://github.com/deepmodeling/jax-fem) (👨‍💻 7 · 🔀 14 · 📋 17 - 82% open · ⏱️ 20.01.2024):
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```
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git clone https://github.com/deepmodeling/jax-fem
@@ -299,59 +299,59 @@ This curated list contains 34 awesome open-source projects with a total of 2.8K
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```
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git clone https://github.com/deepmodeling/dpti
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```
302-
- [PyPi](https://pypi.org/project/dpti) (📥 25 / month):
302+
- [PyPi](https://pypi.org/project/dpti) (📥 28 / month):
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```
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pip install dpti
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```
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</details>
307307
<details><summary><b><a href="https://github.com/deepmodeling/Uni-Fold">Uni-Fold</a></b> (🥉8 · ⭐ 90 · 💤) - <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>
308308

309-
- [GitHub](https://github.com/deepmodeling/Uni-Fold) (👨‍💻 3 · 🔀 18 · ⏱️ 18.08.2022):
309+
- [GitHub](https://github.com/deepmodeling/Uni-Fold) (👨‍💻 3 · 🔀 17 · ⏱️ 18.08.2022):
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```
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git clone https://github.com/deepmodeling/Uni-Fold
313313
```
314-
- [Docker Hub](https://hub.docker.com/r/dptechnology/unifold) (📥 560 · ⏱️ 08.01.2024):
314+
- [Docker Hub](https://hub.docker.com/r/dptechnology/unifold) (📥 570 · ⏱️ 08.01.2024):
315315
```
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docker pull dptechnology/unifold
317317
```
318318
</details>
319-
<details><summary><b><a href="https://github.com/deepmodeling/AIS-Square">AIS-Square</a></b> (🥉8 · ⭐ 7) - <code><a href="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>
319+
<details><summary><b><a href="https://github.com/deepmodeling/AIS-Square">AIS-Square</a></b> (🥉8 · ⭐ 8) - <code><a href="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>
320320

321321
- [GitHub](https://github.com/deepmodeling/AIS-Square) (👨‍💻 8 · 🔀 6 · 📋 5 - 80% open · ⏱️ 06.12.2023):
322322

323323
```
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git clone https://github.com/deepmodeling/AIS-Square
325325
```
326326
</details>
327-
<details><summary><b><a href="https://github.com/deepmodeling/fealpy">fealpy</a></b> (🥉8 · ⭐ 2 · 📉) - Finite Element Analysis Library in Python. <code>Unlicensed</code></summary>
327+
<details><summary><b><a href="https://github.com/deepmodeling/community">community</a></b> (🥉7 · ⭐ 73) - DeepModeling community content. <code>Unlicensed</code></summary>
328+
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- [GitHub](https://github.com/deepmodeling/community) (👨‍💻 15 · 🔀 17 · 📋 5 - 20% open · ⏱️ 03.01.2024):
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```
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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/fealpy">fealpy</a></b> (🥉7 · ⭐ 2 · 📉) - Finite Element Analysis Library in Python. <code>Unlicensed</code></summary>
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- [GitHub](https://github.com/deepmodeling/fealpy) (👨‍💻 57 · ⏱️ 20.11.2023):
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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) (📥 53 / month):
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- [PyPi](https://pypi.org/project/fealpy) (📥 59 / month):
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```
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pip install fealpy
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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> (🥉8 · ⭐ 1) - DeepModeling Blog. <code><a href="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>
347+
<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 · ⏱️ 19.01.2024):
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```
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git clone https://github.com/deepmodeling/blog
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```
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</details>
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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) (👨‍💻 15 · 🔀 17 · 📋 5 - 20% open · ⏱️ 03.01.2024):
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```
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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/docs">docs</a></b> (🥉6 · ⭐ 3) - The home page of DeepModeling documentation. <code><a href="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>
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- [GitHub](https://github.com/deepmodeling/docs) (👨‍💻 7 · 🔀 6 · ⏱️ 17.12.2023):
@@ -367,7 +367,7 @@ This curated list contains 34 awesome open-source projects with a total of 2.8K
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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) (📥 270 / month):
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- [PyPi](https://pypi.org/project/fpop) (📥 300 / month):
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```
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pip install fpop
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```

‎history/2024-02-08_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/dflow">dflow</a></b> (🥈18 · ⭐ 47 · 📈) - 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>
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- <b><a href="https://github.com/deepmodeling/dpgen2">DPGEN2</a></b> (🥈13 · ⭐ 24 · 📈) - 2nd generation of the Deep Potential GENerator. <code><a href="http://bit.ly/37RvQcA">LGPL-3.0</a></code>
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- <b><a href="https://github.com/deepmodeling/rid-kit">rid-kit</a></b> (🥈12 · ⭐ 41 · 📈) - Reinforced dynamics. <code><a href="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><a href="https://github.com/deepmodeling/fealpy">fealpy</a></b> (🥉7 · ⭐ 2 · 📉) - Finite Element Analysis Library in Python. <code>Unlicensed</code>
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- <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>
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