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<details ><summary ><b ><a href =" https://github.com/deepmodeling/deepmd-kit " >DeePMD-kit</a ></b > (🥇29 · ⭐ 1.3K) - A deep learning package for many-body potential energy representation and molecular dynamics. <code ><a href =" http://bit.ly/37RvQcA " >LGPL-3.0</a ></code ></summary >
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- - [ GitHub] ( https://github.com/deepmodeling/deepmd-kit ) (👨💻 64 · 🔀 440 · 📥 29K · 📦 12 · 📋 470 - 5% open · ⏱️ 27.10.2023):
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+ - [ GitHub] ( https://github.com/deepmodeling/deepmd-kit ) (👨💻 64 · 🔀 440 · 📥 29K · 📦 12 · 📋 480 - 5% open · ⏱️ 27.10.2023):
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```
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git clone https://github.com/deepmodeling/deepmd-kit
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```
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- - [ PyPi] ( https://pypi.org/project/deepmd-kit ) (📥 1.2K / month):
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+ - [ PyPi] ( https://pypi.org/project/deepmd-kit ) (📥 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 ) (📥 430K · ⏱️ 20 .11.2023):
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+ - [ Conda] ( https://anaconda.org/conda-forge/deepmd-kit ) (📥 430K · ⏱️ 28 .11.2023):
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```
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conda install -c conda-forge deepmd-kit
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```
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- - [ npm] ( https://www.npmjs.com/package/deepmd-kit ) (📥 110 / month):
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+ - [ npm] ( https://www.npmjs.com/package/deepmd-kit ) (📥 38 / month):
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```
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npm install deepmd-kit
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```
@@ -68,14 +68,14 @@ This curated list contains 33 awesome open-source projects with a total of 2.6K
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docker pull deepmodeling/deepmd-kit
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```
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</details >
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- <details ><summary ><b ><a href =" https://github.com/deepmodeling/dpgen " >DP-GEN</a ></b > (🥇24 · ⭐ 240 ) - The deep potential generator to generate a deep-learning based model of interatomic potential energy and force field. <code ><a href =" http://bit.ly/37RvQcA " >LGPL-3.0</a ></code ></summary >
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+ <details ><summary ><b ><a href =" https://github.com/deepmodeling/dpgen " >DP-GEN</a ></b > (🥇24 · ⭐ 250 ) - The deep potential generator to generate a deep-learning based model of interatomic potential energy and force field. <code ><a href =" http://bit.ly/37RvQcA " >LGPL-3.0</a ></code ></summary >
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- [ GitHub] ( https://github.com/deepmodeling/dpgen ) (👨💻 62 · 🔀 160 · 📥 1.5K · 📦 4 · 📋 250 - 6% open · ⏱️ 02.11.2023):
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```
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git clone https://github.com/deepmodeling/dpgen
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```
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- - [ PyPi] ( https://pypi.org/project/dpgen ) (📥 650 / month):
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+ - [ PyPi] ( https://pypi.org/project/dpgen ) (📥 620 / month):
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```
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pip install dpgen
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```
@@ -84,14 +84,14 @@ This curated list contains 33 awesome open-source projects with a total of 2.6K
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conda install -c conda-forge dpgen
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```
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</details >
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- <details ><summary ><b ><a href =" https://github.com/deepmodeling/dpdata " >dpdata</a ></b > (🥇24 · ⭐ 150 · 📈 ) - Manipulating multiple atomic simulation data formats, including DeePMD-kit, VASP, LAMMPS, ABACUS, etc. <code ><a href =" http://bit.ly/37RvQcA " >LGPL-3.0</a ></code ></summary >
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+ <details ><summary ><b ><a href =" https://github.com/deepmodeling/dpdata " >dpdata</a ></b > (🥇23 · ⭐ 150 · 📉 ) - Manipulating multiple atomic simulation data formats, including DeePMD-kit, VASP, LAMMPS, ABACUS, etc. <code ><a href =" http://bit.ly/37RvQcA " >LGPL-3.0</a ></code ></summary >
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- [ GitHub] ( https://github.com/deepmodeling/dpdata ) (👨💻 51 · 🔀 110 · 📦 110 · 📋 76 - 13% 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 ) (📥 6.7K / month):
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+ - [ PyPi] ( https://pypi.org/project/dpdata ) (📥 5.3K / month):
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```
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pip install dpdata
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```
@@ -106,39 +106,39 @@ This curated list contains 33 awesome open-source projects with a total of 2.6K
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</details >
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<details ><summary ><b ><a href =" https://github.com/deepmodeling/abacus-develop " >ABACUS</a ></b > (🥇22 · ⭐ 130) - An electronic structure package based on either plane wave basis or numerical atomic orbitals. <code ><a href =" http://bit.ly/37RvQcA " >LGPL-3.0</a ></code ></summary >
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- - [ GitHub] ( https://github.com/deepmodeling/abacus-develop ) (👨💻 89 · 🔀 86 · 📋 970 - 12 % open · ⏱️ 23 .11.2023):
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+ - [ GitHub] ( https://github.com/deepmodeling/abacus-develop ) (👨💻 90 · 🔀 86 · 📋 980 - 13 % open · ⏱️ 30 .11.2023):
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```
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git clone https://github.com/deepmodeling/abacus-develop
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```
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- - [ Conda] ( https://anaconda.org/conda-forge/abacus ) (📥 6.5K · ⏱️ 24.10.2023):
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+ - [ Conda] ( https://anaconda.org/conda-forge/abacus ) (📥 6.6K · ⏱️ 24.10.2023):
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```
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conda install -c conda-forge abacus
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```
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</details >
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- <details ><summary ><b ><a href =" https://github.com/deepmodeling/dpdispatcher " >dpdispatcher</a ></b > (🥇22 · ⭐ 34 ) - generate HPC scheduler systems jobs input scripts and submit these scripts to HPC systems and poke until they finish. <code ><a href =" http://bit.ly/37RvQcA " >LGPL-3.0</a ></code ></summary >
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+ <details ><summary ><b ><a href =" https://github.com/deepmodeling/dpdispatcher " >dpdispatcher</a ></b > (🥇22 · ⭐ 35 ) - generate HPC scheduler systems jobs input scripts and submit these scripts to HPC systems and poke until they finish. <code ><a href =" http://bit.ly/37RvQcA " >LGPL-3.0</a ></code ></summary >
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- [ GitHub] ( https://github.com/deepmodeling/dpdispatcher ) (👨💻 42 · 🔀 46 · 📦 42 · 📋 58 - 18% open · ⏱️ 20.11.2023):
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```
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git clone https://github.com/deepmodeling/dpdispatcher
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```
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- - [ PyPi] ( https://pypi.org/project/dpdispatcher ) (📥 2.7K / month):
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+ - [ PyPi] ( https://pypi.org/project/dpdispatcher ) (📥 2.2K / 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 ) (📥 5.7K · ⏱️ 21.11.2023):
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+ - [ Conda] ( https://anaconda.org/conda-forge/dpdispatcher ) (📥 5.8K · ⏱️ 21.11.2023):
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```
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conda install -c conda-forge dpdispatcher
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```
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- - [ Docker Hub] ( https://hub.docker.com/r/dptechnology/dpdispatcher ) (📥 80K · ⏱️ 20.11.2023):
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+ - [ Docker Hub] ( https://hub.docker.com/r/dptechnology/dpdispatcher ) (📥 81K · ⏱️ 20.11.2023):
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```
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docker pull dptechnology/dpdispatcher
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```
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</details >
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<details ><summary ><b ><a href =" https://github.com/deepmodeling/dflow " >dflow</a ></b > (🥈17 · ⭐ 42) - Dflow is a Python framework for constructing scientific computing workflows (e.g. concurrent learning workflows).. <code ><a href =" http://bit.ly/37RvQcA " >LGPL-3.0</a ></code ></summary >
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- - [ GitHub] ( https://github.com/deepmodeling/dflow ) (👨💻 21 · 🔀 20 · 📋 33 - 36 % open · ⏱️ 23 .11.2023):
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+ - [ GitHub] ( https://github.com/deepmodeling/dflow ) (👨💻 21 · 🔀 20 · 📋 34 - 38 % open · ⏱️ 27 .11.2023):
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```
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git clone https://github.com/deepmodeling/dflow
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```
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conda install -c conda-forge dflow
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```
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- - [ Docker Hub] ( https://hub.docker.com/r/dptechnology/dflow ) (📥 1.8K · ⏱️ 23 .11.2023):
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+ - [ Docker Hub] ( https://hub.docker.com/r/dptechnology/dflow ) (📥 1.8K · ⏱️ 27 .11.2023):
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```
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docker pull dptechnology/dflow
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```
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</details >
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- <details ><summary ><b ><a href =" https://github.com/deepmodeling/dpgui " >DP-GUI </a ></b > (🥈17 · ⭐ 7 ) - A web-based GUI for user inputs . <code ><a href =" http://bit.ly/37RvQcA " >LGPL-3.0</a ></code ></summary >
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+ <details ><summary ><b ><a href =" https://github.com/deepmodeling/dargs " >dargs </a ></b > (🥈17 · ⭐ 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/dpgui ) (👨💻 3 · 🔀 3 · 📦 4 · ⏱️ 20 .11.2023):
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+ - [ GitHub] ( https://github.com/deepmodeling/dargs ) (👨💻 5 · 🔀 1 · 📦 110 · 📋 7 - 14% open · ⏱️ 01 .11.2023):
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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/dargs
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```
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- - [ PyPi] ( https://pypi.org/project/dpgui ) (📥 9.3K / month):
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+ - [ PyPi] ( https://pypi.org/project/dargs ) (📥 10K / month):
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```
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- pip install dpgui
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+ pip install dargs
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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 > (🥈17 · ⭐ 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/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/dargs ) (👨💻 5 · 🔀 1 · 📦 110 · 📋 7 - 14% open · ⏱️ 01 .11.2023):
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+ - [ GitHub] ( https://github.com/deepmodeling/dpgui ) (👨💻 3 · 🔀 3 · 📦 4 · ⏱️ 20 .11.2023):
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```
176
- git clone https://github.com/deepmodeling/dargs
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+ git clone https://github.com/deepmodeling/dpgui
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```
178
- - [ PyPi] ( https://pypi.org/project/dargs ) (📥 13K / month):
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+ - [ PyPi] ( https://pypi.org/project/dpgui ) (📥 7.2K / month):
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```
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- pip install dargs
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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/deepflame-dev " >DeepFlame</a ></b > (🥈15 · ⭐ 89) - 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 ) (👨💻 20 · 🔀 50 · 📋 34 - 23 % open · ⏱️ 20.11.2023):
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+ - [ GitHub] ( https://github.com/deepmodeling/deepflame-dev ) (👨💻 20 · 🔀 50 · 📋 34 - 20 % open · ⏱️ 20.11.2023):
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```
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git clone https://github.com/deepmodeling/deepflame-dev
@@ -195,39 +195,27 @@ This curated list contains 33 awesome open-source projects with a total of 2.6K
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```
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git clone https://github.com/deepmodeling/APEX
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```
198
- - [ PyPi] ( https://pypi.org/project/apex-flow ) (📥 200 / month):
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+ - [ PyPi] ( https://pypi.org/project/apex-flow ) (📥 220 / month):
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```
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pip install apex-flow
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```
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</details >
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<details ><summary ><b ><a href =" https://github.com/deepmodeling/DMFF " >DMFF</a ></b > (🥈13 · ⭐ 120) - DMFF (Differentiable Molecular Force Field) is a Jax-based python package that provides a full differentiable.. <code ><a href =" http://bit.ly/37RvQcA " >LGPL-3.0</a ></code ></summary >
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- - [ GitHub] ( https://github.com/deepmodeling/DMFF ) (👨💻 13 · 🔀 32 · 📋 20 - 30 % open · ⏱️ 09.11.2023):
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+ - [ GitHub] ( https://github.com/deepmodeling/DMFF ) (👨💻 13 · 🔀 32 · 📋 21 - 33 % open · ⏱️ 09.11.2023):
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```
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git clone https://github.com/deepmodeling/DMFF
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```
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</details >
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- <details ><summary ><b ><a href =" https://github.com/deepmodeling/rid-kit " >rid-kit</a ></b > (🥈13 · ⭐ 39) - Reinforced dynamics. <code ><a href =" http://bit.ly/37RvQcA " >LGPL-3.0</a ></code ></summary >
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-
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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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- ```
216
- git clone https://github.com/deepmodeling/rid-kit
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- ```
218
- - [ PyPi] ( https://pypi.org/project/rid-kit ) (📥 18 / month):
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- ```
220
- 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/dpgen2 " >DPGEN2</a ></b > (🥈13 · ⭐ 20) - 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 · 🔀 13 · 📦 1 · 📋 21 - 38% open · ⏱️ 25.10.2023):
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```
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git clone https://github.com/deepmodeling/dpgen2
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```
230
- - [ PyPi] ( https://pypi.org/project/dpgen2 ) (📥 58 / month):
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+ - [ PyPi] ( https://pypi.org/project/dpgen2 ) (📥 73 / month):
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```
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pip install dpgen2
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```
@@ -236,14 +224,26 @@ This curated list contains 33 awesome open-source projects with a total of 2.6K
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docker pull dptechnology/dpgen2
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```
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</details >
239
- <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 >
227
+ <details ><summary ><b ><a href =" https://github.com/deepmodeling/rid-kit " >rid-kit</a ></b > (🥈12 · ⭐ 39 · 📉) - Reinforced dynamics. <code ><a href =" http://bit.ly/37RvQcA " >LGPL-3.0</a ></code ></summary >
228
+
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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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+ ```
232
+ git clone https://github.com/deepmodeling/rid-kit
233
+ ```
234
+ - [ PyPi] ( https://pypi.org/project/rid-kit ) (📥 34 / month):
235
+ ```
236
+ pip install rid-kit
237
+ ```
238
+ </details >
239
+ <details ><summary ><b ><a href =" https://github.com/deepmodeling/deepmodeling_sphinx " >deepmodeling_sphinx</a ></b > (🥈12 · ⭐ 2) - Sphinx extension for DeepModeling projects. <code ><a href =" http://bit.ly/37RvQcA " >LGPL-3.0</a ></code ></summary >
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- [ GitHub] ( https://github.com/deepmodeling/deepmodeling_sphinx ) (👨💻 4 · 🔀 3 · ⏱️ 31.10.2023):
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```
244
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git clone https://github.com/deepmodeling/deepmodeling_sphinx
245
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```
246
- - [ PyPi] ( https://pypi.org/project/deepmodeling_sphinx ) (📥 1.9K / month):
246
+ - [ PyPi] ( https://pypi.org/project/deepmodeling_sphinx ) (📥 1.7K / month):
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```
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pip install deepmodeling_sphinx
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```
@@ -258,24 +258,24 @@ This curated list contains 33 awesome open-source projects with a total of 2.6K
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</details >
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<details ><summary ><b ><a href =" https://github.com/deepmodeling/args " >args</a ></b > (🥉11 · ⭐ 2) - DeepModeling dargs arguments generation. <code ><a href =" http://bit.ly/37RvQcA " >LGPL-3.0</a ></code ></summary >
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- - [ GitHub] ( https://github.com/deepmodeling/args ) (👨💻 2 · 🔀 1 · 📦 4 · ⏱️ 20 .11.2023):
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+ - [ GitHub] ( https://github.com/deepmodeling/args ) (👨💻 2 · 🔀 1 · 📦 4 · ⏱️ 27 .11.2023):
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```
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git clone https://github.com/deepmodeling/args
265
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```
266
- - [ npm] ( https://www.npmjs.com/package/@deepmodeling/args ) (📥 640 / month):
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+ - [ npm] ( https://www.npmjs.com/package/@deepmodeling/args ) (📥 380 / month):
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```
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npm install @deepmodeling/args
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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 > (🥉10 · ⭐ 2 · 📈 ) - Finite Element Analysis Library in Python. <code >Unlicensed</code ></summary >
271
+ <details ><summary ><b ><a href =" https://github.com/deepmodeling/fealpy " >fealpy</a ></b > (🥉10 · ⭐ 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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```
276
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git clone https://github.com/deepmodeling/fealpy
277
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```
278
- - [ PyPi] ( https://pypi.org/project/fealpy ) (📥 61 / month):
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+ - [ PyPi] ( https://pypi.org/project/fealpy ) (📥 76 / month):
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```
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pip install fealpy
281
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```
@@ -288,45 +288,45 @@ This curated list contains 33 awesome open-source projects with a total of 2.6K
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git clone https://github.com/deepmodeling/deepks-kit
289
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```
290
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</details >
291
- <details ><summary ><b ><a href =" https://github.com/deepmodeling/AIS-Square " >AIS-Square</a ></b > (🥉8 · ⭐ 6) - <code ><a href =" http://bit.ly/37RvQcA " >LGPL-3.0</a ></code ></summary >
292
-
293
- - [ GitHub] ( https://github.com/deepmodeling/AIS-Square ) (👨💻 8 · 🔀 5 · 📋 4 - 75% open · ⏱️ 15.11.2023):
294
-
295
- ```
296
- git clone https://github.com/deepmodeling/AIS-Square
297
- ```
298
- </details >
299
- <details ><summary ><b ><a href =" https://github.com/deepmodeling/Uni-Fold " >Uni-Fold</a ></b > (🥉7 · ⭐ 90 · 💤) - <code ><a href =" http://bit.ly/3nYMfla " >Apache-2</a ></code ></summary >
291
+ <details ><summary ><b ><a href =" https://github.com/deepmodeling/Uni-Fold " >Uni-Fold</a ></b > (🥉8 · ⭐ 89 · 💤) - <code ><a href =" http://bit.ly/3nYMfla " >Apache-2</a ></code ></summary >
300
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- [ GitHub] ( https://github.com/deepmodeling/Uni-Fold ) (👨💻 3 · 🔀 18 · ⏱️ 18.08.2022):
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```
304
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git clone https://github.com/deepmodeling/Uni-Fold
305
297
```
306
- - [ Docker Hub] ( https://hub.docker.com/r/dptechnology/unifold ) (📥 540 · ⏱️ 19.06 .2023):
298
+ - [ Docker Hub] ( https://hub.docker.com/r/dptechnology/unifold ) (📥 540 · ⏱️ 30.11 .2023):
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```
308
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docker pull dptechnology/unifold
309
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```
310
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</details >
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- <details ><summary ><b ><a href =" https://github.com/deepmodeling/community " >community </a ></b > (🥉7 · ⭐ 71 ) - DeepModeling community content. < code >Unlicensed </code ></summary >
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+ <details ><summary ><b ><a href =" https://github.com/deepmodeling/AIS-Square " >AIS-Square </a ></b > (🥉8 · ⭐ 6 ) - < code >< a href = " http://bit.ly/37RvQcA " >LGPL-3.0</ a > </code ></summary >
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- - [ GitHub] ( https://github.com/deepmodeling/community ) (👨💻 14 · 🔀 14 · 📋 5 - 20 % open · ⏱️ 07 .11.2023):
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+ - [ GitHub] ( https://github.com/deepmodeling/AIS-Square ) (👨💻 8 · 🔀 5 · 📋 4 - 75 % open · ⏱️ 29 .11.2023):
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```
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- git clone https://github.com/deepmodeling/community
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+ git clone https://github.com/deepmodeling/AIS-Square
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```
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</details >
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- <details ><summary ><b ><a href =" https://github.com/deepmodeling/blog " >Blog</a ></b > (🥉7 · ⭐ 1) - DeepModeling Blog. <code ><a href =" http://bit.ly/37RvQcA " >LGPL-3.0</a ></code ></summary >
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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 >
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- - [ GitHub] ( https://github.com/deepmodeling/blog ) (👨💻 5 · 🔀 5 · ⏱️ 08 .11.2023):
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+ - [ GitHub] ( https://github.com/deepmodeling/blog ) (👨💻 5 · 🔀 5 · ⏱️ 28 .11.2023):
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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 · ⭐ 71) - DeepModeling community content. <code >Unlicensed</code ></summary >
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+
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+ - [ GitHub] ( https://github.com/deepmodeling/community ) (👨💻 14 · 🔀 14 · 📋 5 - 20% open · ⏱️ 07.11.2023):
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+
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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/dpti " >dpti</a ></b > (🥉6 · ⭐ 13) - <code ><a href =" http://bit.ly/37RvQcA " >LGPL-3.0</a ></code ></summary >
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- - [ GitHub] ( https://github.com/deepmodeling/dpti ) (👨💻 13 · 🔀 14 · ⏱️ 05.07.2023):
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+ - [ GitHub] ( https://github.com/deepmodeling/dpti ) (👨💻 13 · 🔀 15 · ⏱️ 05.07.2023):
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```
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git clone https://github.com/deepmodeling/dpti
@@ -347,12 +347,12 @@ This curated list contains 33 awesome open-source projects with a total of 2.6K
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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 ) (📥 230 / month):
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+ - [ PyPi] ( https://pypi.org/project/fpop ) (📥 170 / month):
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```
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pip install fpop
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```
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</details >
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- <details ><summary ><b ><a href =" https://github.com/deepmodeling/AI4Science101 " >AI4Science101</a ></b > (🥉5 · ⭐ 73 · 💤) - AI for Science. <code >Unlicensed</code ></summary >
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+ <details ><summary ><b ><a href =" https://github.com/deepmodeling/AI4Science101 " >AI4Science101</a ></b > (🥉5 · ⭐ 72 · 💤) - AI for Science. <code >Unlicensed</code ></summary >
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- [ GitHub] ( https://github.com/deepmodeling/AI4Science101 ) (👨💻 5 · 🔀 12 · ⏱️ 04.09.2022):
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