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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 ) (📥 6.8K / month):
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+ - [ PyPi] ( https://pypi.org/project/deepmd-kit ) (📥 6.1K / 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 ) (📥 1.4M · ⏱️ 24.12.2024):
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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 ) (📥 25 / month):
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```
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npm install deepmd-kit
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```
@@ -70,12 +70,12 @@ This curated list contains 38 awesome open-source projects with a total of 3.8K
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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 - 5% open · ⏱️ 23 .01.2025):
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+ - [ GitHub] ( https://github.com/deepmodeling/abacus-develop ) (👨💻 120 · 🔀 140 · 📋 2.1K - 5% open · ⏱️ 30 .01.2025):
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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 ) (📥 280K · ⏱️ 27.12.2024):
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```
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conda install -c conda-forge abacus
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```
@@ -87,7 +87,7 @@ This curated list contains 38 awesome open-source projects with a total of 3.8K
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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 ) (📥 980 / month):
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```
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pip install dpgen
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```
@@ -96,18 +96,18 @@ This curated list contains 38 awesome open-source projects with a total of 3.8K
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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 · ⭐ 200 · 📈 ) - A Python package for manipulating atomistic data of software in computational science. <code ><a href =" http://bit.ly/37RvQcA " >LGPL-3.0</a ></code ></summary >
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+ <details ><summary ><b ><a href =" https://github.com/deepmodeling/dpdata " >dpdata</a ></b > (🥇24 · ⭐ 200) - A Python package for manipulating atomistic data of software in computational science. <code ><a href =" http://bit.ly/37RvQcA " >LGPL-3.0</a ></code ></summary >
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- [ GitHub] ( https://github.com/deepmodeling/dpdata ) (👨💻 62 · 🔀 130 · 📦 140 · 📋 110 - 19% open · ⏱️ 21.01.2025):
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```
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git clone https://github.com/deepmodeling/dpdata
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```
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```
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pip install dpdata
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```
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- - [ Conda] ( https://anaconda.org/conda-forge/dpdata ) (📥 87K · ⏱️ 22.01.2025):
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conda install -c conda-forge dpdata
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</details >
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<details ><summary ><b ><a href =" https://github.com/deepmodeling/dpdispatcher " >dpdispatcher</a ></b > (🥈22 · ⭐ 48) - generate HPC scheduler systems jobs input scripts and submit these scripts to HPC systems and poke until they finish. <code ><a href =" http://bit.ly/37RvQcA " >LGPL-3.0</a ></code ></summary >
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+ - [ GitHub] ( https://github.com/deepmodeling/dpdispatcher ) (👨💻 46 · 🔀 53 · 📦 55 · 📋 81 - 22% open · ⏱️ 28 .01.2025):
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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 ) (📥 3.6K / 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 ) (📥 20K · ⏱️ 30.12.2024):
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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 ) (📥 120K · ⏱️ 30.08.2024 ):
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+ - [ Docker Hub] ( https://hub.docker.com/r/dptechnology/dpdispatcher ) (📥 120K · ⏱️ 30.01.2025 ):
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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/reacnetgenerator " >reacnetgenerator</a ></b > (🥈21 · ⭐ 76 ) - 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 · ⭐ 77 ) - 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 · 🔀 39 · 📦 3 · 📋 130 - 4% open · ⏱️ 26 .01.2025):
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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 ) (📥 8.6K / month):
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```
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```
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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 > (🥈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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```
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git clone https://github.com/deepmodeling/dargs
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```
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```
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pip install dargs
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```
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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 · ⭐ 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 · ⭐ 67 ) - 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 · ⏱️ 15.01.2025):
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@@ -203,7 +203,7 @@ This curated list contains 38 awesome open-source projects with a total of 3.8K
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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 ) (📥 370 / month):
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```
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pip install 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 · ⭐ 26) - 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 ) (👨💻 7 · 🔀 18 · 📦 4 · 📋 9 - 11% open · ⏱️ 09.01.2025):
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+ - [ GitHub] ( https://github.com/deepmodeling/APEX ) (👨💻 7 · 🔀 19 · 📦 4 · 📋 9 - 11% open · ⏱️ 09.01.2025):
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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 ) (📥 1.7K / month):
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+ - [ PyPi] ( https://pypi.org/project/apex-flow ) (📥 1.6K / 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 > (🥈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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+ <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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```
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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 ) (📥 15K / 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/DeePTB " >DeePTB</a ></b > (🥈15 · ⭐ 59 ) - 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 > (🥈15 · ⭐ 60 ) - DeePTB: A deep learning package for tight-binding approach with ab initio accuracy. <code ><a href =" http://bit.ly/37RvQcA " >LGPL-3.0</a ></code ></summary >
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- [ GitHub] ( https://github.com/deepmodeling/DeePTB ) (👨💻 10 · 🔀 16 · 📦 2 · 📋 38 - 23% open · ⏱️ 01.01.2025):
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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 ) (📥 320 / month):
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```
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pip install dptb
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```
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</details >
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- <details ><summary ><b ><a href =" https://github.com/deepmodeling/jax-fem " >JAX-FEM</a ></b > (🥈14 · ⭐ 330 ) - Differentiable Finite Element Method with JAX. <code ><a href =" http://bit.ly/2M0xdwT " >GPL-3.0</a ></code ></summary >
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+ <details ><summary ><b ><a href =" https://github.com/deepmodeling/jax-fem " >JAX-FEM</a ></b > (🥈14 · ⭐ 340 ) - 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 · 🔀 48 · 📦 3 · 📋 44 - 59 % open · ⏱️ 13.12.2024):
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+ - [ GitHub] ( https://github.com/deepmodeling/jax-fem ) (👨💻 9 · 🔀 50 · 📦 3 · 📋 45 - 57 % open · ⏱️ 13.12.2024):
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```
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git clone https://github.com/deepmodeling/jax-fem
@@ -260,14 +260,14 @@ This curated list contains 38 awesome open-source projects with a total of 3.8K
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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 · ⭐ 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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+ <details ><summary ><b ><a href =" https://github.com/deepmodeling/DMFF " >DMFF</a ></b > (🥈13 · ⭐ 170 · 💤) - 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 · 🔀 45 · 📋 27 - 40% open · ⏱️ 12.01.2024):
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```
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git clone https://github.com/deepmodeling/DMFF
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```
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- - [ Conda] ( https://anaconda.org/conda-forge/dmff ) (📥 1.4K · ⏱️ 06.01.2024):
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+ - [ Conda] ( https://anaconda.org/conda-forge/dmff ) (📥 1.5K · ⏱️ 06.01.2024):
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```
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conda install -c conda-forge dmff
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```
@@ -279,7 +279,7 @@ This curated list contains 38 awesome open-source projects with a total of 3.8K
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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 ) (📥 600 / month):
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+ - [ PyPi] ( https://pypi.org/project/rid-kit ) (📥 590 / month):
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```
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pip install rid-kit
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```
@@ -291,7 +291,7 @@ This curated list contains 38 awesome open-source projects with a total of 3.8K
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```
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git clone https://github.com/deepmodeling/deepmodeling_sphinx
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```
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- - [ PyPi] ( https://pypi.org/project/deepmodeling_sphinx ) (📥 3.1K / month):
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+ - [ PyPi] ( https://pypi.org/project/deepmodeling_sphinx ) (📥 2.7K / month):
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```
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pip install deepmodeling_sphinx
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```
@@ -311,19 +311,19 @@ This curated list contains 38 awesome open-source projects with a total of 3.8K
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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 ) (📥 150 / month):
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+ - [ PyPi] ( https://pypi.org/project/dpti ) (📥 140 / 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/args " >args</a ></b > (🥉10 · ⭐ 2 · 📉 ) - DeepModeling dargs arguments generation. <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/args " >args</a ></b > (🥉10 · ⭐ 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 ) (👨💻 3 · 🔀 2 · 📦 5 · ⏱️ 30.12.2024):
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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 ) (📥 150 / month):
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+ - [ npm] ( https://www.npmjs.com/package/@deepmodeling/args ) (📥 130 / month):
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```
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npm install @deepmodeling/args
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```
@@ -346,20 +346,28 @@ This curated list contains 38 awesome open-source projects with a total of 3.8K
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</details >
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<details ><summary ><b ><a href =" https://github.com/deepmodeling/AIS-Square " >AIS-Square</a ></b > (🥉8 · ⭐ 13) - <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 · ⏱️ 21 .01.2025):
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+ - [ GitHub] ( https://github.com/deepmodeling/AIS-Square ) (👨💻 8 · 🔀 8 · 📋 6 - 83% open · ⏱️ 24 .01.2025):
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```
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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/DeePDih " >DeePDih</a ></b > (🥉8 · ⭐ 5 · 💤) - Deep Potential driven molecular dihedral scan toolkit. <code ><a href =" http://bit.ly/34MBwT8 " >MIT</a ></code ></summary >
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+
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+ - [ GitHub] ( https://github.com/deepmodeling/DeePDih ) (🔀 3 · 📥 3 · ⏱️ 19.04.2024):
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+
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+ ```
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+ git clone https://github.com/deepmodeling/DeePDih
361
+ ```
362
+ </details >
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<details ><summary ><b ><a href =" https://github.com/deepmodeling/fealpy " >fealpy</a ></b > (🥉8 · ⭐ 5 · 💤) - Finite Element Analysis Library in Python. <code >Unlicensed</code ></summary >
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- [ GitHub] ( https://github.com/deepmodeling/fealpy ) (👨💻 57 · 🔀 2 · ⏱️ 24.04.2024):
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```
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git clone https://github.com/deepmodeling/fealpy
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```
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- - [ PyPi] ( https://pypi.org/project/fealpy ) (📥 740 / month):
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+ - [ PyPi] ( https://pypi.org/project/fealpy ) (📥 500 / month):
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```
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pip install fealpy
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```
@@ -371,7 +379,7 @@ This curated list contains 38 awesome open-source projects with a total of 3.8K
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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 ) (📥 890 / month):
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+ - [ PyPi] ( https://pypi.org/project/fpop ) (📥 680 / month):
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```
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pip install fpop
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```
@@ -388,14 +396,6 @@ This curated list contains 38 awesome open-source projects with a total of 3.8K
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docker pull dptechnology/unifold
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```
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</details >
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- <details ><summary ><b ><a href =" https://github.com/deepmodeling/DeePDih " >DeePDih</a ></b > (🥉7 · ⭐ 5 · 💤) - Deep Potential driven molecular dihedral scan toolkit. <code ><a href =" http://bit.ly/34MBwT8 " >MIT</a ></code ></summary >
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- - [ GitHub] ( https://github.com/deepmodeling/DeePDih ) (🔀 3 · 📥 2 · ⏱️ 19.04.2024):
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- ```
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- git clone https://github.com/deepmodeling/DeePDih
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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 > (🥉6 · ⭐ 85) - DeepModeling community content. <code >Unlicensed</code ></summary >
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- [ GitHub] ( https://github.com/deepmodeling/community ) (👨💻 17 · 🔀 21 · ⏱️ 26.09.2024):
@@ -412,6 +412,14 @@ This curated list contains 38 awesome open-source projects with a total of 3.8K
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git clone https://github.com/deepmodeling/tbplas
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```
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</details >
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+ <details ><summary ><b ><a href =" https://github.com/deepmodeling/docs " >docs</a ></b > (🥉6 · ⭐ 3 · 📈) - The home page of DeepModeling documentation. <code ><a href =" http://bit.ly/37RvQcA " >LGPL-3.0</a ></code ></summary >
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+ - [ GitHub] ( https://github.com/deepmodeling/docs ) (👨💻 8 · 🔀 7 · ⏱️ 28.10.2024):
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+ ```
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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/AI4Science101 " >AI4Science101</a ></b > (🥉5 · ⭐ 87 · 💤) - AI for Science. <code >Unlicensed</code ></summary >
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- [ GitHub] ( https://github.com/deepmodeling/AI4Science101 ) (👨💻 5 · 🔀 14 · ⏱️ 04.09.2022):
@@ -428,14 +436,6 @@ This curated list contains 38 awesome open-source projects with a total of 3.8K
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git clone https://github.com/deepmodeling/tutorials
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```
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</details >
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- <details ><summary ><b ><a href =" https://github.com/deepmodeling/docs " >docs</a ></b > (🥉5 · ⭐ 3) - The home page of DeepModeling documentation. <code ><a href =" http://bit.ly/37RvQcA " >LGPL-3.0</a ></code ></summary >
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- - [ GitHub] ( https://github.com/deepmodeling/docs ) (👨💻 8 · 🔀 7 · ⏱️ 28.10.2024):
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- ```
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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/DeepH-pack " >DeepH-pack</a ></b > (🥉4 · ⭐ 12 · 💤) - Deep neural networks for density functional theory Hamiltonian. <code ><a href =" http://bit.ly/37RvQcA " >LGPL-3.0</a ></code ></summary >
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- [ GitHub] ( https://github.com/deepmodeling/DeepH-pack ) (👨💻 6 · 🔀 6 · 📋 6 - 66% open · ⏱️ 28.12.2023):
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