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Update best-of list for version 2024.09.12
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‎README.md

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@@ -51,15 +51,15 @@ This curated list contains 38 awesome open-source projects with a total of 3.4K
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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) (📥 1.9K / month):
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- [PyPi](https://pypi.org/project/deepmd-kit) (📥 2.1K / 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) (📥 990K · ⏱️ 27.07.2024):
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- [Conda](https://anaconda.org/conda-forge/deepmd-kit) (📥 1M · ⏱️ 27.07.2024):
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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) (📥 10 / month):
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- [npm](https://www.npmjs.com/package/deepmd-kit) (📥 13 / month):
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```
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npm install deepmd-kit
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```
@@ -70,28 +70,28 @@ This curated list contains 38 awesome open-source projects with a total of 3.4K
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</details>
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<details><summary><b><a href="https://github.com/deepmodeling/abacus-develop">ABACUS</a></b> (🥇26 · ⭐ 160) - 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) (👨‍💻 120 · 🔀 130 · 📋 1.8K - 11% open · ⏱️ 05.09.2024):
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- [GitHub](https://github.com/deepmodeling/abacus-develop) (👨‍💻 120 · 🔀 130 · 📋 1.8K - 11% open · ⏱️ 11.09.2024):
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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) (📥 160K · ⏱️ 26.08.2024):
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- [Conda](https://anaconda.org/conda-forge/abacus) (📥 170K · ⏱️ 26.08.2024):
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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/dpdata">dpdata</a></b> (🥇24 · ⭐ 200 · 📈) - A Python package for manipulating atomistic data of software in computational science. <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> (🥇24 · ⭐ 200) - A Python package for manipulating atomistic data of software in computational science. <code><a href="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>
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- [GitHub](https://github.com/deepmodeling/dpdata) (👨‍💻 60 · 🔀 120 · 📦 120 · 📋 98 - 17% open · ⏱️ 03.09.2024):
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- [GitHub](https://github.com/deepmodeling/dpdata) (👨‍💻 60 · 🔀 120 · 📦 120 · 📋 99 - 18% open · ⏱️ 03.09.2024):
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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) (📥 29K / month):
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- [PyPi](https://pypi.org/project/dpdata) (📥 37K / month):
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```
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pip install dpdata
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```
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- [Conda](https://anaconda.org/conda-forge/dpdata) (📥 76K · ⏱️ 03.09.2024):
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- [Conda](https://anaconda.org/conda-forge/dpdata) (📥 77K · ⏱️ 03.09.2024):
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```
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conda install -c conda-forge dpdata
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```
@@ -100,14 +100,14 @@ This curated list contains 38 awesome open-source projects with a total of 3.4K
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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/dpgen">DP-GEN</a></b> (🥇23 · ⭐ 300 · 📈) - 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> (🥇23 · ⭐ 300) - 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) (👨‍💻 64 · 🔀 170 · 📥 1.8K · 📦 6 · 📋 300 - 10% open · ⏱️ 10.04.2024):
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- [GitHub](https://github.com/deepmodeling/dpgen) (👨‍💻 64 · 🔀 170 · 📥 1.8K · 📦 6 · 📋 300 - 11% open · ⏱️ 10.04.2024):
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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) (📥 450 / month):
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- [PyPi](https://pypi.org/project/dpgen) (📥 560 / month):
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```
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pip install dpgen
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```
@@ -118,12 +118,12 @@ This curated list contains 38 awesome open-source projects with a total of 3.4K
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</details>
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<details><summary><b><a href="https://github.com/deepmodeling/dpdispatcher">dpdispatcher</a></b> (🥈22 · ⭐ 42) - 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) (👨‍💻 46 · 🔀 53 · 📦 50 · 📋 76 - 19% open · ⏱️ 03.09.2024):
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- [GitHub](https://github.com/deepmodeling/dpdispatcher) (👨‍💻 46 · 🔀 53 · 📦 50 · 📋 76 - 19% open · ⏱️ 11.09.2024):
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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) (📥 2.3K / month):
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- [PyPi](https://pypi.org/project/dpdispatcher) (📥 2.6K / month):
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```
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pip install dpdispatcher
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```
@@ -136,14 +136,14 @@ This curated list contains 38 awesome open-source projects with a total of 3.4K
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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/reacnetgenerator">reacnetgenerator</a></b> (🥈20 · ⭐ 63) - an automatic reaction network generator for reactive molecular dynamics simulation. <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/reacnetgenerator">reacnetgenerator</a></b> (🥈19 · ⭐ 64 · 📉) - an automatic reaction network generator for reactive molecular dynamics simulation. <code><a href="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>
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- [GitHub](https://github.com/deepmodeling/reacnetgenerator) (👨‍💻 18 · 🔀 36 · 📦 2 · 📋 120 - 4% open · ⏱️ 09.08.2024):
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- [GitHub](https://github.com/deepmodeling/reacnetgenerator) (👨‍💻 18 · 🔀 37 · 📦 2 · 📋 120 - 4% open · ⏱️ 09.08.2024):
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```
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git clone https://github.com/deepmodeling/reacnetgenerator
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```
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- [PyPi](https://pypi.org/project/reacnetgenerator) (📥 1.8K / month):
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- [PyPi](https://pypi.org/project/reacnetgenerator) (📥 2.8K / month):
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```
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pip install reacnetgenerator
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```
@@ -154,7 +154,7 @@ This curated list contains 38 awesome open-source projects with a total of 3.4K
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</details>
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<details><summary><b><a href="https://github.com/deepmodeling/dflow">dflow</a></b> (🥈19 · ⭐ 62) - 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) (👨‍💻 22 · 🔀 25 · 📋 35 - 40% open · ⏱️ 04.09.2024):
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- [GitHub](https://github.com/deepmodeling/dflow) (👨‍💻 22 · 🔀 25 · 📋 35 - 40% open · ⏱️ 11.09.2024):
158158

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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) (📥 7.7K · ⏱️ 04.09.2024):
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- [Docker Hub](https://hub.docker.com/r/dptechnology/dflow) (📥 7.7K · ⏱️ 11.09.2024):
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```
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docker pull dptechnology/dflow
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```
@@ -179,7 +179,7 @@ This curated list contains 38 awesome open-source projects with a total of 3.4K
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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) (📥 49K / month):
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- [PyPi](https://pypi.org/project/dargs) (📥 61K / month):
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```
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pip install dargs
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```
@@ -198,100 +198,100 @@ This curated list contains 38 awesome open-source projects with a total of 3.4K
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</details>
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<details><summary><b><a href="https://github.com/deepmodeling/dpgen2">DPGEN2</a></b> (🥈17 · ⭐ 32) - 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) (👨‍💻 14 · 🔀 24 · 📦 4 · 📋 32 - 28% open · ⏱️ 04.09.2024):
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- [GitHub](https://github.com/deepmodeling/dpgen2) (👨‍💻 14 · 🔀 24 · 📦 4 · 📋 32 - 28% open · ⏱️ 12.09.2024):
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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) (📥 79 / month):
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- [PyPi](https://pypi.org/project/dpgen2) (📥 150 / 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) (📥 3.5K · ⏱️ 04.09.2024):
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- [Docker Hub](https://hub.docker.com/r/dptechnology/dpgen2) (📥 3.5K · ⏱️ 12.09.2024):
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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> (🥈16 · ⭐ 46 · 📉) - 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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<details><summary><b><a href="https://github.com/deepmodeling/DeePTB">DeePTB</a></b> (🥈16 · ⭐ 46) - 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) (👨‍💻 10 · 🔀 15 · 📦 1 · 📋 35 - 20% open · ⏱️ 27.08.2024):
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```
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git clone https://github.com/deepmodeling/DeePTB
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```
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- [PyPi](https://pypi.org/project/dptb) (📥 280 / month):
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- [PyPi](https://pypi.org/project/dptb) (📥 320 / month):
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```
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pip install dptb
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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> (🥈14 · ⭐ 150 · 💤) - 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) (👨‍💻 14 · 🔀 41 · 📋 26 - 38% open · ⏱️ 12.01.2024):
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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) (📥 850 · ⏱️ 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/APEX">APEX</a></b> (🥈14 · ⭐ 20) - 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> (🥈15 · ⭐ 21 · 📈) - 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) (👨‍💻 6 · 🔀 16 · 📦 1 · ⏱️ 27.08.2024):
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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) (📥 250 / month):
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- [PyPi](https://pypi.org/project/apex-flow) (📥 420 / 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/dpgui">DP-GUI</a></b> (🥈14 · ⭐ 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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<details><summary><b><a href="https://github.com/deepmodeling/DMFF">DMFF</a></b> (🥈14 · ⭐ 150 · 💤) - 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/dpgui) (👨‍💻 3 · 🔀 4 · 📦 8 · ⏱️ 31.05.2024):
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- [GitHub](https://github.com/deepmodeling/DMFF) (👨‍💻 14 · 🔀 41 · 📋 26 - 38% open · ⏱️ 12.01.2024):
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```
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git clone https://github.com/deepmodeling/dpgui
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git clone https://github.com/deepmodeling/DMFF
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```
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- [PyPi](https://pypi.org/project/dpgui) (📥 16K / month):
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- [Conda](https://anaconda.org/conda-forge/dmff) (📥 900 · ⏱️ 06.01.2024):
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```
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pip install dpgui
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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/jax-fem">JAX-FEM</a></b> (🥈13 · ⭐ 220) - Differentiable Finite Element Method with JAX. <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/jax-fem">JAX-FEM</a></b> (🥈13 · ⭐ 230) - Differentiable Finite Element Method with JAX. <code><a href="http://bit.ly/2M0xdwT">GPL-3.0</a></code></summary>
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- [GitHub](https://github.com/deepmodeling/jax-fem) (👨‍💻 7 · 🔀 34 · 📦 2 · 📋 27 - 70% open · ⏱️ 04.09.2024):
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- [GitHub](https://github.com/deepmodeling/jax-fem) (👨‍💻 7 · 🔀 35 · 📦 2 · 📋 29 - 65% open · ⏱️ 04.09.2024):
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```
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git clone https://github.com/deepmodeling/jax-fem
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```
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- [PyPi](https://pypi.org/project/jax-fem) (📥 230 / month):
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- [PyPi](https://pypi.org/project/jax-fem) (📥 280 / month):
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```
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pip install jax-fem
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</details>
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<details><summary><b><a href="https://github.com/deepmodeling/rid-kit">rid-kit</a></b> (🥉12 · ⭐ 44 · 📉) - Reinforced dynamics. <code><a href="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>
263+
<details><summary><b><a href="https://github.com/deepmodeling/rid-kit">rid-kit</a></b> (🥈13 · ⭐ 44 · 📈) - 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 · 🔀 22 · 📥 140 · 📦 1 · 📋 4 - 25% open · ⏱️ 27.06.2024):
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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) (📥 130 / month):
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- [PyPi](https://pypi.org/project/rid-kit) (📥 160 / 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/dpgui">DP-GUI</a></b> (🥈13 · ⭐ 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) (👨‍💻 4 · 🔀 5 · 📦 8 · ⏱️ 11.09.2024):
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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) (📥 19K / 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/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) (👨‍💻 7 · 🔀 6 · ⏱️ 06.08.2024):
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- [GitHub](https://github.com/deepmodeling/deepmodeling_sphinx) (👨‍💻 7 · 🔀 6 · ⏱️ 11.09.2024):
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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) (📥 1.8K / month):
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- [PyPi](https://pypi.org/project/deepmodeling_sphinx) (📥 1.9K / month):
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```
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pip install deepmodeling_sphinx
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```
@@ -319,7 +319,7 @@ This curated list contains 38 awesome open-source projects with a total of 3.4K
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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) (📥 60 / month):
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- [PyPi](https://pypi.org/project/dpti) (📥 71 / month):
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```
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pip install dpti
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```
@@ -331,7 +331,7 @@ This curated list contains 38 awesome open-source projects with a total of 3.4K
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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) (📥 40 / month):
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- [npm](https://www.npmjs.com/package/@deepmodeling/args) (📥 62 / month):
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```
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npm install @deepmodeling/args
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```
@@ -343,51 +343,51 @@ This curated list contains 38 awesome open-source projects with a total of 3.4K
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```
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git clone https://github.com/deepmodeling/fpop
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```
346-
- [PyPi](https://pypi.org/project/fpop) (📥 2.4K / month):
346+
- [PyPi](https://pypi.org/project/fpop) (📥 2.5K / month):
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```
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pip install fpop
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```
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</details>
351-
<details><summary><b><a href="https://github.com/deepmodeling/community">community</a></b> (🥉8 · ⭐ 81 · 📈) - DeepModeling community content. <code>Unlicensed</code></summary>
351+
<details><summary><b><a href="https://github.com/deepmodeling/community">community</a></b> (🥉8 · ⭐ 82) - DeepModeling community content. <code>Unlicensed</code></summary>
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- [GitHub](https://github.com/deepmodeling/community) (👨‍💻 17 · 🔀 21 · ⏱️ 02.09.2024):
353+
- [GitHub](https://github.com/deepmodeling/community) (👨‍💻 17 · 🔀 21 · ⏱️ 09.09.2024):
354354

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```
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git clone https://github.com/deepmodeling/community
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```
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</details>
359+
<details><summary><b><a href="https://github.com/deepmodeling/Uni-Fold">Uni-Fold</a></b> (🥉7 · ⭐ 91 · 💤) - <code><a href="http://bit.ly/3nYMfla">Apache-2</a></code></summary>
360+
361+
- [GitHub](https://github.com/deepmodeling/Uni-Fold) (👨‍💻 3 · 🔀 18 · ⏱️ 18.08.2022):
362+
363+
```
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git clone https://github.com/deepmodeling/Uni-Fold
365+
```
366+
- [Docker Hub](https://hub.docker.com/r/dptechnology/unifold) (📥 710 · ⏱️ 08.01.2024):
367+
```
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docker pull dptechnology/unifold
369+
```
370+
</details>
359371
<details><summary><b><a href="https://github.com/deepmodeling/fealpy">fealpy</a></b> (🥉7 · ⭐ 3) - Finite Element Analysis Library in Python. <code>Unlicensed</code></summary>
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- [GitHub](https://github.com/deepmodeling/fealpy) (👨‍💻 57 · 🔀 2 · ⏱️ 24.04.2024):
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```
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git clone https://github.com/deepmodeling/fealpy
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```
366-
- [PyPi](https://pypi.org/project/fealpy) (📥 78 / month):
378+
- [PyPi](https://pypi.org/project/fealpy) (📥 110 / 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> (🥉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) (👨‍💻 7 · 🔀 7 · ⏱️ 01.09.2024):
385+
- [GitHub](https://github.com/deepmodeling/blog) (👨‍💻 7 · 🔀 7 · ⏱️ 11.09.2024):
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```
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git clone https://github.com/deepmodeling/blog
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```
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</details>
379-
<details><summary><b><a href="https://github.com/deepmodeling/Uni-Fold">Uni-Fold</a></b> (🥉6 · ⭐ 91 · 💤) - <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):
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```
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git clone https://github.com/deepmodeling/Uni-Fold
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```
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- [Docker Hub](https://hub.docker.com/r/dptechnology/unifold) (📥 690 · ⏱️ 08.01.2024):
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```
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docker pull dptechnology/unifold
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```
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</details>
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<details><summary><b><a href="https://github.com/deepmodeling/tutorials">tutorials</a></b> (🥉6 · ⭐ 13) - Tutorials for DeepModeling projects. <code>Unlicensed</code></summary>
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- [GitHub](https://github.com/deepmodeling/tutorials) (👨‍💻 10 · 🔀 22 · ⏱️ 21.08.2024):

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