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Merge pull request #65 from deepmodeling/update/2024.10.17
Best-of update: 2024.10.17
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‎README.md

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@@ -46,20 +46,20 @@ This curated list contains 38 awesome open-source projects with a total of 3.5K
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<details><summary><b><a href="https://github.com/deepmodeling/deepmd-kit">DeePMD-kit</a></b> (🥇26 · ⭐ 1.5K) - 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) (👨‍💻 69 · 🔀 490 · 📥 41K · 📦 17 · 📋 790 - 11% open · ⏱️ 17.09.2024):
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- [GitHub](https://github.com/deepmodeling/deepmd-kit) (👨‍💻 69 · 🔀 490 · 📥 41K · 📦 17 · 📋 790 - 10% open · ⏱️ 17.09.2024):
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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) (📥 7.4K / month):
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- [PyPi](https://pypi.org/project/deepmd-kit) (📥 10K / 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) (📥 1.1M · ⏱️ 25.09.2024):
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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) (📥 9 / month):
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```
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npm install deepmd-kit
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```
@@ -70,24 +70,24 @@ This curated list contains 38 awesome open-source projects with a total of 3.5K
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</details>
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<details><summary><b><a href="https://github.com/deepmodeling/abacus-develop">ABACUS</a></b> (🥇26 · ⭐ 170) - 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 · 📋 1.9K - 10% open · ⏱️ 10.10.2024):
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- [GitHub](https://github.com/deepmodeling/abacus-develop) (👨‍💻 120 · 🔀 130 · 📋 1.9K - 8% open · ⏱️ 17.10.2024):
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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) (📥 200K · ⏱️ 30.09.2024):
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- [Conda](https://anaconda.org/conda-forge/abacus) (📥 210K · ⏱️ 30.09.2024):
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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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- [GitHub](https://github.com/deepmodeling/dpdata) (👨‍💻 61 · 🔀 120 · 📦 120 · 📋 100 - 18% open · ⏱️ 20.09.2024):
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- [GitHub](https://github.com/deepmodeling/dpdata) (👨‍💻 61 · 🔀 120 · 📦 130 · 📋 100 - 18% open · ⏱️ 20.09.2024):
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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) (📥 47K / month):
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- [PyPi](https://pypi.org/project/dpdata) (📥 50K / month):
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```
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pip install dpdata
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```
@@ -100,61 +100,61 @@ This curated list contains 38 awesome open-source projects with a total of 3.5K
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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> (🥇22 · ⭐ 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/dpdispatcher">dpdispatcher</a></b> (🥇23 · ⭐ 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/dpgen) (👨‍💻 64 · 🔀 170 · 📥 1.8K · 📦 7 · 📋 300 - 11% open · ⏱️ 10.04.2024):
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- [GitHub](https://github.com/deepmodeling/dpdispatcher) (👨‍💻 47 · 🔀 54 · 📦 52 · 📋 79 - 21% open · ⏱️ 06.10.2024):
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```
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git clone https://github.com/deepmodeling/dpgen
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git clone https://github.com/deepmodeling/dpdispatcher
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```
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- [PyPi](https://pypi.org/project/dpgen) (📥 1.1K / month):
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- [PyPi](https://pypi.org/project/dpdispatcher) (📥 5.8K / month):
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```
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pip install dpgen
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pip install dpdispatcher
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```
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- [Conda](https://anaconda.org/conda-forge/dpgen) (📥 33K · ⏱️ 10.04.2024):
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- [Conda](https://anaconda.org/conda-forge/dpdispatcher) (📥 16K · ⏱️ 31.08.2024):
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```
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conda install -c conda-forge dpgen
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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) (📥 110K · ⏱️ 30.08.2024):
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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/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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<details><summary><b><a href="https://github.com/deepmodeling/dpgen">DP-GEN</a></b> (🥈22 · ⭐ 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/dpdispatcher) (👨‍💻 47 · 🔀 54 · 📦 51 · 📋 77 - 20% open · ⏱️ 06.10.2024):
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- [GitHub](https://github.com/deepmodeling/dpgen) (👨‍💻 64 · 🔀 170 · 📥 1.8K · 📦 7 · 📋 300 - 12% open · ⏱️ 10.04.2024):
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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) (📥 4.5K / month):
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```
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pip install dpdispatcher
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git clone https://github.com/deepmodeling/dpgen
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```
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- [Conda](https://anaconda.org/conda-forge/dpdispatcher) (📥 15K · ⏱️ 31.08.2024):
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- [PyPi](https://pypi.org/project/dpgen) (📥 1.4K / month):
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```
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conda install -c conda-forge dpdispatcher
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pip install dpgen
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```
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- [Docker Hub](https://hub.docker.com/r/dptechnology/dpdispatcher) (📥 110K · ⏱️ 30.08.2024):
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- [Conda](https://anaconda.org/conda-forge/dpgen) (📥 33K · ⏱️ 10.04.2024):
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```
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docker pull dptechnology/dpdispatcher
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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/reacnetgenerator">reacnetgenerator</a></b> (🥈21 · ⭐ 65 · 📈) - 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> (🥈21 · ⭐ 66) - 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 · 🔀 38 · 📦 3 · 📋 120 - 4% open · ⏱️ 05.10.2024):
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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) (📥 7.1K / month):
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- [PyPi](https://pypi.org/project/reacnetgenerator) (📥 5.9K / month):
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```
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pip install reacnetgenerator
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```
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- [Conda](https://anaconda.org/conda-forge/reacnetgenerator) (📥 420K · ⏱️ 04.10.2024):
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- [Conda](https://anaconda.org/conda-forge/reacnetgenerator) (📥 430K · ⏱️ 04.10.2024):
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```
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conda install -c conda-forge reacnetgenerator
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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> (🥈19 · ⭐ 63) - 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 · ⏱️ 20.09.2024):
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- [GitHub](https://github.com/deepmodeling/dflow) (👨‍💻 22 · 🔀 25 · 📋 35 - 40% open · ⏱️ 17.10.2024):
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```
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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) (📥 9.2K · ⏱️ 20.09.2024):
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- [Docker Hub](https://hub.docker.com/r/dptechnology/dflow) (📥 9.2K · ⏱️ 17.10.2024):
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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/dargs">dargs</a></b> (🥈19 · ⭐ 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) (👨‍💻 7 · 🔀 3 · 📦 120 · 📋 8 - 25% open · ⏱️ 17.07.2024):
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- [GitHub](https://github.com/deepmodeling/dargs) (👨‍💻 7 · 🔀 3 · 📦 130 · 📋 8 - 25% open · ⏱️ 17.07.2024):
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```
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```
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- [PyPi](https://pypi.org/project/dargs) (📥 69K / month):
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- [PyPi](https://pypi.org/project/dargs) (📥 67K / month):
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```
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</details>
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<details><summary><b><a href="https://github.com/deepmodeling/deepflame-dev">DeepFlame</a></b> (🥈17 · ⭐ 140) - A deep learning empowered open-source platform for reacting flow simulations. <code><a href="http://bit.ly/2M0xdwT">GPL-3.0</a></code></summary>
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- [GitHub](https://github.com/deepmodeling/deepflame-dev) (👨‍💻 24 · 🔀 60 · 📋 46 - 36% open · ⏱️ 30.08.2024):
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- [GitHub](https://github.com/deepmodeling/deepflame-dev) (👨‍💻 24 · 🔀 60 · 📋 47 - 38% open · ⏱️ 12.10.2024):
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<details><summary><b><a href="https://github.com/deepmodeling/dpgen2">DPGEN2</a></b> (🥈17 · ⭐ 33) - 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 · 📦 5 · 📋 32 - 28% open · ⏱️ 06.10.2024):
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- [GitHub](https://github.com/deepmodeling/dpgen2) (👨‍💻 14 · 🔀 24 · 📦 5 · 📋 32 - 28% open · ⏱️ 15.10.2024):
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```
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- [PyPi](https://pypi.org/project/dpgen2) (📥 380 / month):
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- [PyPi](https://pypi.org/project/dpgen2) (📥 510 / month):
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```
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- [Docker Hub](https://hub.docker.com/r/dptechnology/dpgen2) (📥 3.6K · ⏱️ 06.10.2024):
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- [Docker Hub](https://hub.docker.com/r/dptechnology/dpgen2) (📥 3.6K · ⏱️ 15.10.2024):
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```
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```
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git clone https://github.com/deepmodeling/DeePTB
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- [PyPi](https://pypi.org/project/dptb) (📥 350 / month):
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- [PyPi](https://pypi.org/project/dptb) (📥 450 / month):
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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> (🥈15 · ⭐ 260 · 📈) - 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/APEX">APEX</a></b> (🥈16 · ⭐ 23 · 📈) - 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/jax-fem) (👨‍💻 8 · 🔀 39 · 📦 3 · 📋 32 - 62% open · ⏱️ 09.10.2024):
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- [GitHub](https://github.com/deepmodeling/APEX) (👨‍💻 6 · 🔀 16 · 📦 2 · ⏱️ 11.10.2024):
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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/jax-fem) (📥 420 / month):
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- [PyPi](https://pypi.org/project/apex-flow) (📥 3.4K / month):
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```
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pip install jax-fem
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pip install apex-flow
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</details>
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<details><summary><b><a href="https://github.com/deepmodeling/APEX">APEX</a></b> (🥈15 · ⭐ 23) - 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/jax-fem">JAX-FEM</a></b> (🥈15 · ⭐ 260) - 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/APEX) (👨‍💻 6 · 🔀 16 · 📦 2 · 📋 8 - 12% open · ⏱️ 27.08.2024):
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- [GitHub](https://github.com/deepmodeling/jax-fem) (👨‍💻 8 · 🔀 41 · 📦 3 · 📋 34 - 61% open · ⏱️ 09.10.2024):
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```
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git clone https://github.com/deepmodeling/APEX
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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/apex-flow) (📥 2.3K / month):
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- [PyPi](https://pypi.org/project/jax-fem) (📥 540 / month):
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```
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pip install apex-flow
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pip install jax-fem
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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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```
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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) (📥 450 / month):
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- [PyPi](https://pypi.org/project/rid-kit) (📥 660 / month):
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```
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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) (📥 20K / month):
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- [PyPi](https://pypi.org/project/dpgui) (📥 22K / 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> (🥉13 · ⭐ 3 · 📈) - Sphinx extension for DeepModeling projects. <code><a href="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>
287+
<details><summary><b><a href="https://github.com/deepmodeling/deepmodeling_sphinx">deepmodeling_sphinx</a></b> (🥉13 · ⭐ 3) - 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 · 🔀 7 · ⏱️ 11.09.2024):
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```
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- [PyPi](https://pypi.org/project/deepmodeling_sphinx) (📥 2.9K / month):
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- [PyPi](https://pypi.org/project/deepmodeling_sphinx) (📥 3.3K / month):
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```
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pip install deepmodeling_sphinx
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```
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</details>
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<details><summary><b><a href="https://github.com/deepmodeling/dpti">dpti</a></b> (🥉12 · ⭐ 21 · 📈) - A Python Package to Automate Thermodynamic Integration Calculations for Free Energy. <code><a href="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>
299+
<details><summary><b><a href="https://github.com/deepmodeling/dpti">dpti</a></b> (🥉11 · ⭐ 21 · 📉) - A Python Package to Automate Thermodynamic Integration Calculations for Free Energy. <code><a href="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>
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- [GitHub](https://github.com/deepmodeling/dpti) (👨‍💻 19 · 🔀 19 · 📦 2 · ⏱️ 14.08.2024):
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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) (📥 220 / month):
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- [PyPi](https://pypi.org/project/dpti) (📥 260 / month):
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```
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pip install dpti
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```
@@ -318,12 +318,24 @@ This curated list contains 38 awesome open-source projects with a total of 3.5K
318318
</details>
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<details><summary><b><a href="https://github.com/deepmodeling/GPUMD">GPUMD</a></b> (🥉10 · ⭐ 3 · 🐣) - Graphics Processing Units Molecular Dynamics. <code><a href="http://bit.ly/2M0xdwT">GPL-3.0</a></code></summary>
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- [GitHub](https://github.com/deepmodeling/GPUMD) (👨‍💻 34 · ⏱️ 03.10.2024):
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- [GitHub](https://github.com/deepmodeling/GPUMD) (👨‍💻 34 · ⏱️ 16.10.2024):
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```
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git clone https://github.com/deepmodeling/GPUMD
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```
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</details>
327+
<details><summary><b><a href="https://github.com/deepmodeling/fpop">fpop</a></b> (🥉9 · ⭐ 2 · 📈) - <code><a href="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>
328+
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- [GitHub](https://github.com/deepmodeling/fpop) (👨‍💻 4 · 🔀 11 · 📦 10 · ⏱️ 01.07.2024):
330+
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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) (📥 1.5K / month):
335+
```
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pip install fpop
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```
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</details>
327339
<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 · ⏱️ 26.09.2024):
@@ -339,7 +351,7 @@ This curated list contains 38 awesome open-source projects with a total of 3.5K
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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) (📥 390 / month):
354+
- [PyPi](https://pypi.org/project/fealpy) (📥 470 / month):
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```
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pip install fealpy
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```
@@ -351,31 +363,19 @@ This curated list contains 38 awesome open-source projects with a total of 3.5K
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```
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git clone https://github.com/deepmodeling/args
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```
354-
- [npm](https://www.npmjs.com/package/@deepmodeling/args) (📥 71 / month):
366+
- [npm](https://www.npmjs.com/package/@deepmodeling/args) (📥 41 / month):
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```
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npm install @deepmodeling/args
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```
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</details>
359-
<details><summary><b><a href="https://github.com/deepmodeling/fpop">fpop</a></b> (🥉8 · ⭐ 2) - <code><a href="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>
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- [GitHub](https://github.com/deepmodeling/fpop) (👨‍💻 4 · 🔀 11 · 📦 9 · ⏱️ 01.07.2024):
362-
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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) (📥 1.3K / month):
367-
```
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pip install fpop
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```
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</details>
371371
<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>
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- [GitHub](https://github.com/deepmodeling/Uni-Fold) (👨‍💻 3 · 🔀 18 · ⏱️ 18.08.2022):
374374

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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) (📥 720 · ⏱️ 08.01.2024):
378+
- [Docker Hub](https://hub.docker.com/r/dptechnology/unifold) (📥 730 · ⏱️ 08.01.2024):
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```
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docker pull dptechnology/unifold
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```
@@ -420,7 +420,7 @@ This curated list contains 38 awesome open-source projects with a total of 3.5K
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git clone https://github.com/deepmodeling/docs
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```
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</details>
423-
<details><summary><b><a href="https://github.com/deepmodeling/AI4Science101">AI4Science101</a></b> (🥉5 · ⭐ 83 · 💤) - AI for Science. <code>Unlicensed</code></summary>
423+
<details><summary><b><a href="https://github.com/deepmodeling/AI4Science101">AI4Science101</a></b> (🥉5 · ⭐ 84 · 💤) - AI for Science. <code>Unlicensed</code></summary>
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- [GitHub](https://github.com/deepmodeling/AI4Science101) (👨‍💻 5 · 🔀 13 · ⏱️ 04.09.2022):
426426

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