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<details ><summary ><b ><a href =" https://github.com/deepmodeling/deepmd-kit " >DeePMD-kit</a ></b > (🥇29 · ⭐ 1.4K) - 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 ) (👨💻 68 · 🔀 460 · 📥 35K · 📦 13 · 📋 650 - 15 % open · ⏱️ 06.04.2024):
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+ - [ GitHub] ( https://github.com/deepmodeling/deepmd-kit ) (👨💻 68 · 🔀 460 · 📥 35K · 📦 13 · 📋 660 - 14 % open · ⏱️ 06.04.2024):
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```
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git clone https://github.com/deepmodeling/deepmd-kit
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```
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- - [ PyPi] ( https://pypi.org/project/deepmd-kit ) (📥 1.8K / month):
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+ - [ PyPi] ( https://pypi.org/project/deepmd-kit ) (📥 2K / 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 ) (📥 510K · ⏱️ 07.04.2024):
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+ - [ Conda] ( https://anaconda.org/conda-forge/deepmd-kit ) (📥 530K · ⏱️ 07.04.2024):
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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 ) (📥 6 / month):
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+ - [ npm] ( https://www.npmjs.com/package/deepmd-kit ) (📥 3 / month):
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```
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npm install deepmd-kit
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```
@@ -70,23 +70,23 @@ This curated list contains 36 awesome open-source projects with a total of 3.1K
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</details >
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<details ><summary ><b ><a href =" https://github.com/deepmodeling/dpgen " >DP-GEN</a ></b > (🥇24 · ⭐ 280) - 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 · 📥 1.7K · 📦 5 · 📋 270 - 9% open · ⏱️ 10.04.2024):
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+ - [ GitHub] ( https://github.com/deepmodeling/dpgen ) (👨💻 64 · 🔀 170 · 📥 1.7K · 📦 5 · 📋 280 - 9% 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 ) (📥 760 / month):
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+ - [ PyPi] ( https://pypi.org/project/dpgen ) (📥 730 / month):
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```
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pip install dpgen
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```
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- - [ Conda] ( https://anaconda.org/conda-forge/dpgen ) (📥 27K · ⏱️ 10.04.2024):
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```
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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 · ⭐ 180) - 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 ) (👨💻 57 · 🔀 120 · 📦 120 · 📋 88 - 14 % open · ⏱️ 03.04.2024):
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+ - [ GitHub] ( https://github.com/deepmodeling/dpdata ) (👨💻 57 · 🔀 120 · 📦 120 · 📋 88 - 15 % open · ⏱️ 03.04.2024):
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```
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git clone https://github.com/deepmodeling/dpdata
@@ -106,19 +106,19 @@ This curated list contains 36 awesome open-source projects with a total of 3.1K
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</details >
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<details ><summary ><b ><a href =" https://github.com/deepmodeling/abacus-develop " >ABACUS</a ></b > (🥇23 · ⭐ 140) - An electronic structure package based on either plane wave basis or numerical atomic orbitals. <code ><a href =" http://bit.ly/37RvQcA " >LGPL-3.0</a ></code ></summary >
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- - [ GitHub] ( https://github.com/deepmodeling/abacus-develop ) (👨💻 110 · 🔀 110 · 📋 1.4K - 14% open · ⏱️ 24 .04.2024):
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+ - [ GitHub] ( https://github.com/deepmodeling/abacus-develop ) (👨💻 110 · 🔀 110 · 📋 1.4K - 14% open · ⏱️ 30 .04.2024):
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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 ) (📥 28K · ⏱️ 13 .04.2024):
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+ - [ Conda] ( https://anaconda.org/conda-forge/abacus ) (📥 31K · ⏱️ 28 .04.2024):
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```
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conda install -c conda-forge abacus
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```
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</details >
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<details ><summary ><b ><a href =" https://github.com/deepmodeling/dpdispatcher " >dpdispatcher</a ></b > (🥈22 · ⭐ 38) - 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 ) (👨💻 44 · 🔀 50 · 📦 47 · 📋 69 - 23% open · ⏱️ 22.04 .2024):
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+ - [ GitHub] ( https://github.com/deepmodeling/dpdispatcher ) (👨💻 44 · 🔀 50 · 📦 47 · 📋 69 - 23% open · ⏱️ 01.05 .2024):
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```
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git clone https://github.com/deepmodeling/dpdispatcher
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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 ) (📥 7.4K · ⏱️ 21.01.2024):
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+ - [ Conda] ( https://anaconda.org/conda-forge/dpdispatcher ) (📥 7.6K · ⏱️ 21.01.2024):
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```
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conda install -c conda-forge dpdispatcher
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```
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</details >
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<details ><summary ><b ><a href =" https://github.com/deepmodeling/reacnetgenerator " >reacnetgenerator</a ></b > (🥈20 · ⭐ 58) - 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 · 🔀 33 · 📋 120 - 4% open · ⏱️ 25.04 .2024):
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+ - [ GitHub] ( https://github.com/deepmodeling/reacnetgenerator ) (👨💻 18 · 🔀 33 · 📋 120 - 4% open · ⏱️ 02.05 .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 ) (📥 1.9K / month):
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+ - [ PyPi] ( https://pypi.org/project/reacnetgenerator ) (📥 2K / 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 ) (📥 280K · ⏱️ 06.01.2024):
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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 > (🥈18 · ⭐ 50 ) - 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 · ⭐ 53 ) - 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 · 🔀 23 · 📋 34 - 38% open · ⏱️ 12 .04.2024):
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+ - [ GitHub] ( https://github.com/deepmodeling/dflow ) (👨💻 22 · 🔀 23 · 📋 34 - 38% open · ⏱️ 30 .04.2024):
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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 ) (📥 3.3K · ⏱️ 12 .04.2024):
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+ - [ Docker Hub] ( https://hub.docker.com/r/dptechnology/dflow ) (📥 3.3K · ⏱️ 30 .04.2024):
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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/DeePTB " >DeePTB</a ></b > (🥈17 · ⭐ 32 · 📈 ) - 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 > (🥈17 · ⭐ 32) - 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 ) (👨💻 9 · 🔀 12 · 📋 22 - 4 % open · ⏱️ 24.04 .2024):
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+ - [ GitHub] ( https://github.com/deepmodeling/DeePTB ) (👨💻 9 · 🔀 12 · 📋 30 - 30 % open · ⏱️ 01.05 .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 ) (📥 390 / month):
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+ - [ PyPi] ( https://pypi.org/project/dptb ) (📥 400 / 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/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/dargs ) (👨💻 7 · 🔀 2 · 📦 110 · 📋 7 - 14% open · ⏱️ 18 .04.2024):
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+ - [ GitHub] ( https://github.com/deepmodeling/dargs ) (👨💻 7 · 🔀 2 · 📦 110 · 📋 7 - 14% open · ⏱️ 27 .04.2024):
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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 ) (📥 21K / month):
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+ - [ PyPi] ( https://pypi.org/project/dargs ) (📥 23K / 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 ) (📥 22K · ⏱️ 06.04.2024):
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+ - [ Conda] ( https://anaconda.org/conda-forge/dargs ) (📥 23K · ⏱️ 06.04.2024):
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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/deepflame-dev " >DeepFlame</a ></b > (🥈16 · ⭐ 120) - 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 ) (👨💻 23 · 🔀 55 · 📋 43 - 34% open · ⏱️ 21.04.2024):
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+ - [ GitHub] ( https://github.com/deepmodeling/deepflame-dev ) (👨💻 23 · 🔀 56 · 📋 43 - 34% open · ⏱️ 21.04.2024):
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```
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git clone https://github.com/deepmodeling/deepflame-dev
@@ -220,54 +220,54 @@ This curated list contains 36 awesome open-source projects with a total of 3.1K
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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/DMFF " >DMFF</a ></b > (🥈14 · ⭐ 140) - 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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- - [ GitHub] ( https://github.com/deepmodeling/DMFF ) (👨💻 14 · 🔀 40 · 📋 25 - 36% open · ⏱️ 12.01.2024):
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-
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- ```
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- git clone https://github.com/deepmodeling/DMFF
229
- ```
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- - [ Conda] ( https://anaconda.org/conda-forge/dmff ) (📥 230 · ⏱️ 06.01.2024):
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- ```
232
- 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/dpgen2 " >DPGEN2</a ></b > (🥈14 · ⭐ 28) - 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 ) (👨💻 13 · 🔀 19 · 📦 2 · 📋 27 - 37 % open · ⏱️ 19 .04.2024):
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+ - [ GitHub] ( https://github.com/deepmodeling/dpgen2 ) (👨💻 13 · 🔀 19 · 📦 2 · 📋 28 - 39 % open · ⏱️ 30 .04.2024):
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```
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git clone https://github.com/deepmodeling/dpgen2
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```
242
- - [ PyPi] ( https://pypi.org/project/dpgen2 ) (📥 120 / month):
230
+ - [ PyPi] ( https://pypi.org/project/dpgen2 ) (📥 130 / month):
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```
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pip install dpgen2
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```
246
- - [ Docker Hub] ( https://hub.docker.com/r/dptechnology/dpgen2 ) (📥 2.4K · ⏱️ 19 .04.2024):
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+ - [ Docker Hub] ( https://hub.docker.com/r/dptechnology/dpgen2 ) (📥 2.4K · ⏱️ 30 .04.2024):
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```
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docker pull dptechnology/dpgen2
249
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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 · ⭐ 140 · 🐣 ) - Differentiable Finite Element Method with JAX. <code ><a href =" http://bit.ly/2M0xdwT " >GPL-3.0</a ></code ></summary >
239
+ <details ><summary ><b ><a href =" https://github.com/deepmodeling/jax-fem " >JAX-FEM</a ></b > (🥈13 · ⭐ 150 ) - 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 · 🔀 28 · 📋 22 - 77% open · ⏱️ 25.04 .2024):
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+ - [ GitHub] ( https://github.com/deepmodeling/jax-fem ) (👨💻 7 · 🔀 28 · 📋 22 - 77% open · ⏱️ 01.05 .2024):
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```
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git clone https://github.com/deepmodeling/jax-fem
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```
258
- - [ PyPi] ( https://pypi.org/project/jax-fem ) (📥 170 / month):
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+ - [ PyPi] ( https://pypi.org/project/jax-fem ) (📥 190 / month):
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```
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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 > (🥈13 · ⭐ 140 · 📉) - 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 >
252
+
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+ - [ GitHub] ( https://github.com/deepmodeling/DMFF ) (👨💻 14 · 🔀 40 · 📋 25 - 36% open · ⏱️ 12.01.2024):
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+
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+ ```
256
+ git clone https://github.com/deepmodeling/DMFF
257
+ ```
258
+ - [ Conda] ( https://anaconda.org/conda-forge/dmff ) (📥 250 · ⏱️ 06.01.2024):
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+ ```
260
+ conda install -c conda-forge dmff
261
+ ```
262
+ </details >
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<details ><summary ><b ><a href =" https://github.com/deepmodeling/rid-kit " >rid-kit</a ></b > (🥈13 · ⭐ 42 · 💤) - 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 · 🔀 21 · 📥 140 · ⏱️ 22.09.2023):
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```
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git clone https://github.com/deepmodeling/rid-kit
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```
270
- - [ PyPi] ( https://pypi.org/project/rid-kit ) (📥 85 / month):
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+ - [ PyPi] ( https://pypi.org/project/rid-kit ) (📥 97 / month):
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```
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pip install rid-kit
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```
@@ -279,7 +279,7 @@ This curated list contains 36 awesome open-source projects with a total of 3.1K
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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 ) (📥 320 / month):
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+ - [ npm] ( https://www.npmjs.com/package/@deepmodeling/args ) (📥 310 / month):
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```
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npm install @deepmodeling/args
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```
@@ -291,31 +291,31 @@ This curated list contains 36 awesome open-source projects with a total of 3.1K
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```
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git clone https://github.com/deepmodeling/deepmodeling_sphinx
293
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```
294
- - [ PyPi] ( https://pypi.org/project/deepmodeling_sphinx ) (📥 2.5K / month):
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+ - [ PyPi] ( https://pypi.org/project/deepmodeling_sphinx ) (📥 2.3K / 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/APEX " >APEX</a ></b > (🥉11 · ⭐ 13 · 📉 ) - APEX: Alloy Properties EXplorer using simulations. <code ><a href =" http://bit.ly/37RvQcA " >LGPL-3.0</a ></code ></summary >
299
+ <details ><summary ><b ><a href =" https://github.com/deepmodeling/APEX " >APEX</a ></b > (🥉11 · ⭐ 13) - 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 · 🔀 14 · ⏱️ 07.04.2024):
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```
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git clone https://github.com/deepmodeling/APEX
305
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```
306
- - [ PyPi] ( https://pypi.org/project/apex-flow ) (📥 69 / month):
306
+ - [ PyPi] ( https://pypi.org/project/apex-flow ) (📥 90 / month):
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```
308
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pip install apex-flow
309
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```
310
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</details >
311
- <details ><summary ><b ><a href =" https://github.com/deepmodeling/fealpy " >fealpy</a ></b > (🥉11 · ⭐ 2 · 📈 ) - Finite Element Analysis Library in Python. <code >Unlicensed</code ></summary >
311
+ <details ><summary ><b ><a href =" https://github.com/deepmodeling/fealpy " >fealpy</a ></b > (🥉11 · ⭐ 2) - 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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```
316
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git clone https://github.com/deepmodeling/fealpy
317
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```
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- - [ PyPi] ( https://pypi.org/project/fealpy ) (📥 160 / month):
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+ - [ PyPi] ( https://pypi.org/project/fealpy ) (📥 170 / month):
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```
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pip install fealpy
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```
@@ -335,7 +335,7 @@ This curated list contains 36 awesome open-source projects with a total of 3.1K
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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 ) (📥 22 / month):
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+ - [ PyPi] ( https://pypi.org/project/dpti ) (📥 25 / month):
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```
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pip install dpti
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```
@@ -359,7 +359,7 @@ This curated list contains 36 awesome open-source projects with a total of 3.1K
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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 ) (📥 2.2K / month):
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+ - [ PyPi] ( https://pypi.org/project/fpop ) (📥 1.4K / month):
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```
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pip install fpop
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```
@@ -372,7 +372,7 @@ This curated list contains 36 awesome open-source projects with a total of 3.1K
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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/tbplas " >tbplas</a ></b > (🥉7 · ⭐ 4 · 🐣) - Repository of TBPLaS (tight-binding package for large-scale simulation). <code >Unlicensed</code ></summary >
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+ <details ><summary ><b ><a href =" https://github.com/deepmodeling/tbplas " >tbplas</a ></b > (🥉7 · ⭐ 5 · 🐣) - Repository of TBPLaS (tight-binding package for large-scale simulation). <code >Unlicensed</code ></summary >
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- [ GitHub] ( https://github.com/deepmodeling/tbplas ) (👨💻 10 · 🔀 3 · ⏱️ 17.01.2024):
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@@ -388,7 +388,7 @@ This curated list contains 36 awesome open-source projects with a total of 3.1K
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git clone https://github.com/deepmodeling/docs
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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 > (🥉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 · ⏱️ 18.04.2024):
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