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Merge pull request #74 from deepmodeling/update/2024.12.19
Best-of update: 2024.12.19
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‎README.md

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@@ -51,7 +51,7 @@ This curated list contains 38 awesome open-source projects with a total of 3.7K
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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) (📥 5.9K / month):
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- [PyPi](https://pypi.org/project/deepmd-kit) (📥 5.4K / month):
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```
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pip install deepmd-kit
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```
@@ -70,24 +70,24 @@ This curated list contains 38 awesome open-source projects with a total of 3.7K
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</details>
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<details><summary><b><a href="https://github.com/deepmodeling/abacus-develop">ABACUS</a></b> (🥇26 · ⭐ 180) - 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 · 🔀 140 · 📋 2.1K - 6% open · ⏱️ 12.12.2024):
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- [GitHub](https://github.com/deepmodeling/abacus-develop) (👨‍💻 120 · 🔀 140 · 📋 2.1K - 6% open · ⏱️ 19.12.2024):
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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) (📥 250K · ⏱️ 02.12.2024):
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- [Conda](https://anaconda.org/conda-forge/abacus) (📥 260K · ⏱️ 14.12.2024):
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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/dpgen">DP-GEN</a></b> (🥇24 · ⭐ 310) - The deep potential generator to generate a deep-learning based model of interatomic potential energy and force field. <code><a href="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>
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<details><summary><b><a href="https://github.com/deepmodeling/dpgen">DP-GEN</a></b> (🥇24 · ⭐ 320) - 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) (👨‍💻 69 · 🔀 170 · 📥 1.8K · 📦 7 · 📋 300 - 12% open · ⏱️ 23.11.2024):
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- [GitHub](https://github.com/deepmodeling/dpgen) (👨‍💻 69 · 🔀 170 · 📥 1.8K · 📦 7 · 📋 310 - 13% open · ⏱️ 23.11.2024):
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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) (📥 1K / month):
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- [PyPi](https://pypi.org/project/dpgen) (📥 880 / month):
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```
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pip install dpgen
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```
@@ -98,12 +98,12 @@ This curated list contains 38 awesome open-source projects with a total of 3.7K
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</details>
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<details><summary><b><a href="https://github.com/deepmodeling/dpdata">dpdata</a></b> (🥇23 · ⭐ 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 · 🔀 130 · 📦 130 · 📋 100 - 20% open · ⏱️ 20.09.2024):
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- [GitHub](https://github.com/deepmodeling/dpdata) (👨‍💻 61 · 🔀 130 · 📦 130 · 📋 100 - 19% 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) (📥 34K / month):
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- [PyPi](https://pypi.org/project/dpdata) (📥 27K / month):
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```
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pip install dpdata
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```
@@ -116,14 +116,14 @@ This curated list contains 38 awesome open-source projects with a total of 3.7K
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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/dpdispatcher">dpdispatcher</a></b> (🥈22 · ⭐ 45) - generate HPC scheduler systems jobs input scripts and submit these scripts to HPC systems and poke until they finish. <code><a href="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>
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<details><summary><b><a href="https://github.com/deepmodeling/dpdispatcher">dpdispatcher</a></b> (🥈22 · ⭐ 46) - 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 · 🔀 54 · 📦 53 · 📋 81 - 22% open · ⏱️ 27.11.2024):
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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) (📥 3.9K / month):
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- [PyPi](https://pypi.org/project/dpdispatcher) (📥 3.3K / month):
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```
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pip install dpdispatcher
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```
@@ -143,32 +143,32 @@ This curated list contains 38 awesome open-source projects with a total of 3.7K
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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) (📥 6.1K / month):
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- [PyPi](https://pypi.org/project/reacnetgenerator) (📥 4K / 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) (📥 460K · ⏱️ 04.10.2024):
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- [Conda](https://anaconda.org/conda-forge/reacnetgenerator) (📥 470K · ⏱️ 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/dargs">dargs</a></b> (🥈20 · ⭐ 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> (🥈20 · ⭐ 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 · 📦 130 · 📋 9 - 22% open · ⏱️ 27.11.2024):
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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) (📥 75K / 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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```
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- [Conda](https://anaconda.org/conda-forge/dargs) (📥 35K · ⏱️ 21.11.2024):
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- [Conda](https://anaconda.org/conda-forge/dargs) (📥 36K · ⏱️ 21.11.2024):
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```
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conda install -c conda-forge dargs
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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 · ⭐ 66) - 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 · ⭐ 66 · 📉) - 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 · 🔀 26 · 📋 36 - 38% open · ⏱️ 06.12.2024):
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@@ -183,7 +183,7 @@ This curated list contains 38 awesome open-source projects with a total of 3.7K
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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) (📥 10K · ⏱️ 06.12.2024):
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- [Docker Hub](https://hub.docker.com/r/dptechnology/dflow) (📥 11K · ⏱️ 06.12.2024):
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```
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docker pull dptechnology/dflow
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```
@@ -195,7 +195,7 @@ This curated list contains 38 awesome open-source projects with a total of 3.7K
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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) (📥 270 / month):
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- [PyPi](https://pypi.org/project/dpgen2) (📥 230 / month):
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```
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pip install dpgen2
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```
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docker pull dptechnology/dpgen2
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```
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</details>
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<details><summary><b><a href="https://github.com/deepmodeling/APEX">APEX</a></b> (🥈16 · ⭐ 25 · 📈) - 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 · ⭐ 310) - 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 · 📦 3 · 📋 9 - 11% open · ⏱️ 25.10.2024):
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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/apex-flow) (📥 1.5K / 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/jax-fem">JAX-FEM</a></b> (🥈15 · ⭐ 310 · 📈) - 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) (👨‍💻 9 · 🔀 46 · 📦 3 · 📋 41 - 60% open · ⏱️ 22.11.2024):
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- [GitHub](https://github.com/deepmodeling/jax-fem) (👨‍💻 9 · 🔀 46 · 📦 3 · 📋 41 - 60% open · ⏱️ 13.12.2024):
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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) (📥 470 / month):
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- [PyPi](https://pypi.org/project/jax-fem) (📥 370 / month):
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```
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pip install jax-fem
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@@ -243,26 +231,38 @@ This curated list contains 38 awesome open-source projects with a total of 3.7K
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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) (📥 300 / month):
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- [PyPi](https://pypi.org/project/dptb) (📥 230 / month):
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```
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pip install dptb
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</details>
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<details><summary><b><a href="https://github.com/deepmodeling/dpgui">DP-GUI</a></b> (🥈15 · ⭐ 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/APEX">APEX</a></b> (🥈15 · ⭐ 25 · 📉) - 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 · 🔀 17 · 📦 3 · 📋 9 - 11% open · ⏱️ 25.10.2024):
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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/apex-flow) (📥 1.2K / 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> (🥈15 · ⭐ 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 · 📦 9 · ⏱️ 26.11.2024):
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```
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```
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- [PyPi](https://pypi.org/project/dpgui) (📥 28K / month):
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- [PyPi](https://pypi.org/project/dpgui) (📥 23K / month):
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```
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pip install dpgui
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<details><summary><b><a href="https://github.com/deepmodeling/DMFF">DMFF</a></b> (🥈14 · ⭐ 160 · 💤) - 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 · 🔀 44 · 📋 27 - 40% open · ⏱️ 12.01.2024):
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- [GitHub](https://github.com/deepmodeling/DMFF) (👨‍💻 14 · 🔀 43 · 📋 27 - 40% open · ⏱️ 12.01.2024):
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```
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git clone https://github.com/deepmodeling/rid-kit
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- [PyPi](https://pypi.org/project/rid-kit) (📥 320 / month):
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- [PyPi](https://pypi.org/project/rid-kit) (📥 240 / 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> (🥉13 · ⭐ 3 · 📈) - Sphinx extension for DeepModeling projects. <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/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 · ⏱️ 27.10.2024):
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```
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git clone https://github.com/deepmodeling/deepmodeling_sphinx
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- [PyPi](https://pypi.org/project/deepmodeling_sphinx) (📥 3.4K / month):
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- [PyPi](https://pypi.org/project/deepmodeling_sphinx) (📥 2.9K / month):
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```
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pip install deepmodeling_sphinx
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@@ -311,14 +311,14 @@ This curated list contains 38 awesome open-source projects with a total of 3.7K
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```
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git clone https://github.com/deepmodeling/args
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- [npm](https://www.npmjs.com/package/@deepmodeling/args) (📥 260 / month):
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- [npm](https://www.npmjs.com/package/@deepmodeling/args) (📥 200 / month):
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```
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npm install @deepmodeling/args
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</details>
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<details><summary><b><a href="https://github.com/deepmodeling/deepks-kit">DeePKS-kit</a></b> (🥉9 · ⭐ 100 · 💤) - a package for developing machine learning-based chemically accurate energy and density functional models. <code><a href="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>
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- [GitHub](https://github.com/deepmodeling/deepks-kit) (👨‍💻 7 · 🔀 35 · 📋 24 - 41% open · ⏱️ 13.04.2024):
321+
- [GitHub](https://github.com/deepmodeling/deepks-kit) (👨‍💻 7 · 🔀 36 · 📋 24 - 41% open · ⏱️ 13.04.2024):
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```
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git clone https://github.com/deepmodeling/deepks-kit
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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) (📥 120 / month):
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- [PyPi](https://pypi.org/project/dpti) (📥 91 / month):
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```
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pip install dpti
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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> (🥉9 · ⭐ 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) (👨‍💻 9 · 🔀 8 · ⏱️ 12.12.2024):
341+
- [GitHub](https://github.com/deepmodeling/blog) (👨‍💻 9 · 🔀 8 · ⏱️ 19.12.2024):
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```
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git clone https://github.com/deepmodeling/blog
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</details>
347347
<details><summary><b><a href="https://github.com/deepmodeling/AIS-Square">AIS-Square</a></b> (🥉8 · ⭐ 12) - <code><a href="http://bit.ly/37RvQcA">LGPL-3.0</a></code></summary>
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- [GitHub](https://github.com/deepmodeling/AIS-Square) (👨‍💻 8 · 🔀 8 · 📋 6 - 83% open · ⏱️ 11.12.2024):
349+
- [GitHub](https://github.com/deepmodeling/AIS-Square) (👨‍💻 8 · 🔀 8 · 📋 6 - 83% open · ⏱️ 15.12.2024):
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```
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git clone https://github.com/deepmodeling/AIS-Square
@@ -359,7 +359,7 @@ This curated list contains 38 awesome open-source projects with a total of 3.7K
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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) (📥 430 / month):
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- [PyPi](https://pypi.org/project/fealpy) (📥 330 / month):
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```
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pip install fealpy
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```
@@ -371,7 +371,7 @@ This curated list contains 38 awesome open-source projects with a total of 3.7K
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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) (📥 770 / month):
374+
- [PyPi](https://pypi.org/project/fpop) (📥 640 / month):
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```
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pip install fpop
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```
@@ -420,9 +420,9 @@ This curated list contains 38 awesome open-source projects with a total of 3.7K
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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 · ⭐ 84 · 💤) - AI for Science. <code>Unlicensed</code></summary>
423+
<details><summary><b><a href="https://github.com/deepmodeling/AI4Science101">AI4Science101</a></b> (🥉5 · ⭐ 85 · 💤) - AI for Science. <code>Unlicensed</code></summary>
424424

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- [GitHub](https://github.com/deepmodeling/AI4Science101) (👨‍💻 5 · 🔀 13 · ⏱️ 04.09.2022):
425+
- [GitHub](https://github.com/deepmodeling/AI4Science101) (👨‍💻 5 · 🔀 14 · ⏱️ 04.09.2022):
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```
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git clone https://github.com/deepmodeling/AI4Science101

‎history/2024-12-19_changes.md

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## 📉 Trending Down
2+
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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._
4+
5+
- <b><a href="https://github.com/deepmodeling/dflow">dflow</a></b> (🥈18 · ⭐ 66 · 📉) - 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>
6+
- <b><a href="https://github.com/deepmodeling/APEX">APEX</a></b> (🥈15 · ⭐ 25 · 📉) - APEX: Alloy Properties EXplorer using simulations. <code><a href="http://bit.ly/37RvQcA">LGPL-3.0</a></code>
7+

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