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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 ) (📥 6.1K / month):
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+ - [ PyPi] ( https://pypi.org/project/deepmd-kit ) (📥 5.9K / 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 ) (📥 1.5M · ⏱️ 24.12.2024):
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+ - [ Conda] ( https://anaconda.org/conda-forge/deepmd-kit ) (📥 1.6M · ⏱️ 24.12.2024):
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```
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conda install -c conda-forge deepmd-kit
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```
@@ -70,44 +70,28 @@ 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/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 · ⏱️ 30.01 .2025):
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+ - [ GitHub] ( https://github.com/deepmodeling/abacus-develop ) (👨💻 120 · 🔀 140 · 📋 2.1K - 5% open · ⏱️ 01.02 .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 ) (📥 300K · ⏱️ 27.12.2024):
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+ - [ Conda] ( https://anaconda.org/conda-forge/abacus ) (📥 330K · ⏱️ 27.12.2024):
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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 · ⭐ 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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-
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- - [ GitHub] ( https://github.com/deepmodeling/dpgen ) (👨💻 69 · 🔀 170 · 📥 1.9K · 📦 8 · 📋 310 - 13% open · ⏱️ 23.11.2024):
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-
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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 ) (📥 820 / 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 ) (📥 36K · ⏱️ 24.11.2024):
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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 · ⭐ 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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```
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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 ) (📥 15K / month):
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```
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```
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- - [ Conda] ( https://anaconda.org/conda-forge/dpdata ) (📥 88K · ⏱️ 22.01.2025):
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```
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conda install -c conda-forge dpdata
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```
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docker pull dptechnology/dpdata
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```
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</details >
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+ <details ><summary ><b ><a href =" https://github.com/deepmodeling/dpgen " >DP-GEN</a ></b > (🥇23 · ⭐ 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 · 📥 1.9K · 📦 8 · 📋 310 - 13% open · ⏱️ 23.11.2024):
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+
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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 ) (📥 740 / 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 ) (📥 37K · ⏱️ 24.11.2024):
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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/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 ) (📥 3.3K / month):
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+ - [ PyPi] ( https://pypi.org/project/dpdispatcher ) (📥 3.2K / 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 ) (📥 20K · ⏱️ 30.12.2024 ):
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+ - [ Conda] ( https://anaconda.org/conda-forge/dpdispatcher ) (📥 22K · ⏱️ 31.01.2025 ):
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```
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conda install -c conda-forge dpdispatcher
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```
@@ -143,11 +143,11 @@ 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/reacnetgenerator
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```
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- - [ PyPi] ( https://pypi.org/project/reacnetgenerator ) (📥 10K / month):
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+ - [ PyPi] ( https://pypi.org/project/reacnetgenerator ) (📥 11K / month):
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```
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```
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- - [ Conda] ( https://anaconda.org/conda-forge/reacnetgenerator ) (📥 510K · ⏱️ 06.01.2025):
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```
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conda install -c conda-forge reacnetgenerator
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```
@@ -159,16 +159,16 @@ 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/dargs
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```
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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 ) (📥 38K · ⏱️ 22.12.2024):
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+ - [ Conda] ( https://anaconda.org/conda-forge/dargs ) (📥 39K · ⏱️ 22.12.2024):
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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 > (🥈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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+ <details ><summary ><b ><a href =" https://github.com/deepmodeling/dflow " >dflow</a ></b > (🥈18 · ⭐ 65 ) - 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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@@ -190,7 +190,7 @@ 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/deepflame-dev " >DeepFlame</a ></b > (🥈16 · ⭐ 150) - 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 ) (👨💻 27 · 🔀 64 · 📋 49 - 40% open · ⏱️ 18.01.2025):
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+ - [ GitHub] ( https://github.com/deepmodeling/deepflame-dev ) (👨💻 27 · 🔀 65 · 📋 49 - 40% open · ⏱️ 18.01.2025):
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```
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git clone https://github.com/deepmodeling/deepflame-dev
@@ -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 ) (📥 340 / month):
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+ - [ PyPi] ( https://pypi.org/project/dpgen2 ) (📥 320 / month):
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```
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pip install dpgen2
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```
@@ -214,12 +214,12 @@ 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/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 · 🔀 19 · 📦 4 · 📋 9 - 11% open · ⏱️ 09.01.2025):
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+ - [ GitHub] ( https://github.com/deepmodeling/APEX ) (👨💻 7 · 🔀 20 · 📦 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 ) (📥 1.6K / month):
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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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```
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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 ) (📥 12K / month):
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+ - [ PyPi] ( https://pypi.org/project/dpgui ) (📥 11K / 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 · ⭐ 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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+ <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/DeePTB ) (👨💻 10 · 🔀 16 · 📦 2 · 📋 38 - 23 % open · ⏱️ 01.01.2025 ):
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+ - [ GitHub] ( https://github.com/deepmodeling/jax-fem ) (👨💻 9 · 🔀 51 · 📦 3 · 📋 46 - 58 % open · ⏱️ 13.12.2024 ):
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```
244
- git clone https://github.com/deepmodeling/DeePTB
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+ git clone https://github.com/deepmodeling/jax-fem
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```
246
- - [ PyPi] ( https://pypi.org/project/dptb ) (📥 300 / month):
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+ - [ PyPi] ( https://pypi.org/project/jax-fem ) (📥 490 / month):
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```
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- pip install dptb
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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/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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+ <details ><summary ><b ><a href =" https://github.com/deepmodeling/DeePTB " >DeePTB </a ></b > (🥈14 · ⭐ 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/jax-fem ) (👨💻 9 · 🔀 50 · 📦 3 · 📋 45 - 57 % open · ⏱️ 13.12.2024 ):
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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/jax-fem
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+ git clone https://github.com/deepmodeling/DeePTB
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```
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- - [ PyPi] ( https://pypi.org/project/jax-fem ) (📥 460 / month):
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+ - [ PyPi] ( https://pypi.org/project/dptb ) (📥 260 / month):
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```
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- pip install jax-fem
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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/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 >
@@ -267,7 +267,7 @@ 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/DMFF
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```
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- - [ Conda] ( https://anaconda.org/conda-forge/dmff ) (📥 1.5K · ⏱️ 06.01.2024):
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+ - [ Conda] ( https://anaconda.org/conda-forge/dmff ) (📥 1.6K · ⏱️ 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 ) (📥 590 / month):
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+ - [ PyPi] ( https://pypi.org/project/rid-kit ) (📥 530 / 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 ) (📥 2.7K / month):
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+ - [ PyPi] ( https://pypi.org/project/deepmodeling_sphinx ) (📥 2.4K / month):
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```
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pip install deepmodeling_sphinx
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```
@@ -311,7 +311,7 @@ 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/dpti
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```
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- - [ PyPi] ( https://pypi.org/project/dpti ) (📥 140 / month):
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+ - [ PyPi] ( https://pypi.org/project/dpti ) (📥 130 / month):
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```
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pip install dpti
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```
@@ -338,48 +338,40 @@ 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/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 · ⏱️ 22.01 .2025):
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+ - [ GitHub] ( https://github.com/deepmodeling/blog ) (👨💻 9 · 🔀 8 · ⏱️ 05.02 .2025):
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```
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git clone https://github.com/deepmodeling/blog
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```
346
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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 · ⏱️ 24.01 .2025):
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+ - [ GitHub] ( https://github.com/deepmodeling/AIS-Square ) (👨💻 8 · 🔀 8 · 📋 6 - 83% open · ⏱️ 05.02 .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 >
356
-
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- - [ GitHub] ( https://github.com/deepmodeling/DeePDih ) (🔀 3 · 📥 3 · ⏱️ 19.04.2024):
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-
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- ```
360
- 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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```
370
- - [ PyPi] ( https://pypi.org/project/fealpy ) (📥 500 / month):
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+ - [ PyPi] ( https://pypi.org/project/fealpy ) (📥 470 / month):
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```
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pip install fealpy
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```
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</details >
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- <details ><summary ><b ><a href =" https://github.com/deepmodeling/fpop " >fpop</a ></b > (🥉8 · ⭐ 2) - <code ><a href =" http://bit.ly/37RvQcA " >LGPL-3.0</a ></code ></summary >
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+ <details ><summary ><b ><a href =" https://github.com/deepmodeling/fpop " >fpop</a ></b > (🥉8 · ⭐ 2 · 💤 ) - <code ><a href =" http://bit.ly/37RvQcA " >LGPL-3.0</a ></code ></summary >
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- [ GitHub] ( https://github.com/deepmodeling/fpop ) (👨💻 4 · 🔀 13 · 📦 12 · ⏱️ 01.07.2024):
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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 ) (📥 680 / month):
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+ - [ PyPi] ( https://pypi.org/project/fpop ) (📥 630 / month):
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```
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pip install fpop
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```
@@ -396,6 +388,14 @@ 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 · 📥 3 · ⏱️ 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):
@@ -406,21 +406,21 @@ 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/tbplas " >tbplas</a ></b > (🥉6 · ⭐ 9 · 💤) - 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 · 🔀 4 · ⏱️ 17.01.2024):
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+ - [ GitHub] ( https://github.com/deepmodeling/tbplas ) (👨💻 10 · 🔀 5 · ⏱️ 17.01.2024):
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```
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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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+ <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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+ <details ><summary ><b ><a href =" https://github.com/deepmodeling/AI4Science101 " >AI4Science101</a ></b > (🥉5 · ⭐ 89 · 💤) - AI for Science. <code >Unlicensed</code ></summary >
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- [ GitHub] ( https://github.com/deepmodeling/AI4Science101 ) (👨💻 5 · 🔀 14 · ⏱️ 04.09.2022):
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