@@ -44,38 +44,38 @@ This curated list contains 36 awesome open-source projects with a total of 3.1K
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<a href =" #contents " ><img align =" right " width =" 15 " height =" 15 " src =" https://git.io/JtehR " alt =" Back to top " ></a >
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- <details ><summary ><b ><a href =" https://github.com/deepmodeling/deepmd-kit " >DeePMD-kit</a ></b > (π₯29 Β· β 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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+ <details ><summary ><b ><a href =" https://github.com/deepmodeling/deepmd-kit " >DeePMD-kit</a ></b > (π₯28 Β· β 1.4K Β· π ) - 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 ) (π¨βπ» 68 Β· π 460 Β· π₯ 35K Β· π¦ 13 Β· π 660 - 14% open Β· β±οΈ 06.04.2024):
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+ - [ GitHub] ( https://github.com/deepmodeling/deepmd-kit ) (π¨βπ» 68 Β· π 470 Β· π₯ 36K Β· π¦ 14 Β· π 670 - 14% open Β· β±οΈ 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 ) (π₯ 2K / month):
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+ - [ PyPi] ( https://pypi.org/project/deepmd-kit ) (π₯ 1.7K / 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 ) (π₯ 530K Β· β±οΈ 07.04.2024):
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+ - [ Conda] ( https://anaconda.org/conda-forge/deepmd-kit ) (π₯ 540K Β· β±οΈ 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 ) (π₯ 3 / month):
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+ - [ npm] ( https://www.npmjs.com/package/deepmd-kit ) (π₯ 10 / month):
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```
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npm install deepmd-kit
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```
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- - [ Docker Hub] ( https://hub.docker.com/r/deepmodeling/deepmd-kit ) (π₯ 2.2K Β· β 1 Β· β±οΈ 04.03.2024):
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+ - [ Docker Hub] ( https://hub.docker.com/r/deepmodeling/deepmd-kit ) (π₯ 2.3K Β· β 1 Β· β±οΈ 04.03.2024):
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```
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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 > (π₯24 Β· β 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 ) (π¨βπ» 64 Β· π 170 Β· π₯ 1.7K Β· π¦ 5 Β· π 280 - 9 % open Β· β±οΈ 10.04.2024):
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+ - [ GitHub] ( https://github.com/deepmodeling/dpgen ) (π¨βπ» 64 Β· π 170 Β· π₯ 1.7K Β· π¦ 5 Β· π 280 - 10 % open Β· β±οΈ 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 ) (π₯ 730 / month):
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+ - [ PyPi] ( https://pypi.org/project/dpgen ) (π₯ 680 / month):
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```
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pip install dpgen
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```
@@ -86,12 +86,12 @@ 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/dpdata " >dpdata</a ></b > (π₯24 Β· β 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 ) (π¨βπ» 57 Β· π 120 Β· π¦ 120 Β· π 88 - 15 % open Β· β±οΈ 03.04.2024):
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+ - [ GitHub] ( https://github.com/deepmodeling/dpdata ) (π¨βπ» 57 Β· π 120 Β· π¦ 120 Β· π 89 - 16 % open Β· β±οΈ 03.04.2024):
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```
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git clone https://github.com/deepmodeling/dpdata
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```
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- - [ PyPi] ( https://pypi.org/project/dpdata ) (π₯ 15K / month):
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+ - [ PyPi] ( https://pypi.org/project/dpdata ) (π₯ 17K / month):
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```
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pip install dpdata
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```
@@ -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 > (π₯23 Β· β 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 ) (π¨βπ» 110 Β· π 110 Β· π 1.4K - 14% open Β· β±οΈ 30.04 .2024):
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+ - [ GitHub] ( https://github.com/deepmodeling/abacus-develop ) (π¨βπ» 110 Β· π 120 Β· π 1.4K - 14% open Β· β±οΈ 08.05 .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 ) (π₯ 31K Β· β±οΈ 28.04.2024):
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+ - [ Conda] ( https://anaconda.org/conda-forge/abacus ) (π₯ 34K Β· β±οΈ 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 > (π₯22 Β· β 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 ) (π¨βπ» 44 Β· π 50 Β· π¦ 47 Β· π 69 - 23% open Β· β±οΈ 01 .05.2024):
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+ - [ GitHub] ( https://github.com/deepmodeling/dpdispatcher ) (π¨βπ» 44 Β· π 51 Β· π¦ 47 Β· π 69 - 23% open Β· β±οΈ 04 .05.2024):
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```
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git clone https://github.com/deepmodeling/dpdispatcher
@@ -127,23 +127,23 @@ This curated list contains 36 awesome open-source projects with a total of 3.1K
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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 ) (π₯ 7.6K Β· β±οΈ 21.01.2024):
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+ - [ Conda] ( https://anaconda.org/conda-forge/dpdispatcher ) (π₯ 7.8K Β· β±οΈ 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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- - [ Docker Hub] ( https://hub.docker.com/r/dptechnology/dpdispatcher ) (π₯ 94K Β· β±οΈ 21.01.2024):
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+ - [ Docker Hub] ( https://hub.docker.com/r/dptechnology/dpdispatcher ) (π₯ 95K Β· β±οΈ 21.01.2024):
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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 > (π₯20 Β· β 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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+ <details ><summary ><b ><a href =" https://github.com/deepmodeling/reacnetgenerator " >reacnetgenerator</a ></b > (π₯21 Β· β 59 Β· π ) - 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 ) (π¨βπ» 18 Β· π 33 Β· π 120 - 4 % open Β· β±οΈ 02 .05.2024):
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+ - [ GitHub] ( https://github.com/deepmodeling/reacnetgenerator ) (π¨βπ» 18 Β· π 33 Β· π 120 - 3 % open Β· β±οΈ 08 .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 ) (π₯ 2K / month):
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+ - [ PyPi] ( https://pypi.org/project/reacnetgenerator ) (π₯ 2. 2K / month):
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```
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pip install reacnetgenerator
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```
@@ -152,7 +152,7 @@ This curated list contains 36 awesome open-source projects with a total of 3.1K
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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 > (π₯18 Β· β 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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+ <details ><summary ><b ><a href =" https://github.com/deepmodeling/dflow " >dflow</a ></b > (π₯18 Β· β 54 ) - 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 ) (π¨βπ» 22 Β· π 23 Β· π 34 - 38% open Β· β±οΈ 30.04.2024):
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@@ -172,26 +172,26 @@ This curated list contains 36 awesome open-source projects with a total of 3.1K
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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 > (π₯17 Β· β 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 > (π₯17 Β· β 31 ) - 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 ) (π¨βπ» 9 Β· π 12 Β· π 30 - 30 % open Β· β±οΈ 01 .05.2024):
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+ - [ GitHub] ( https://github.com/deepmodeling/DeePTB ) (π¨βπ» 9 Β· π 12 Β· π 31 - 25 % open Β· β±οΈ 08 .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 ) (π₯ 400 / month):
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+ - [ PyPi] ( https://pypi.org/project/dptb ) (π₯ 530 / 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 > (π₯17 Β· β 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 ) (π¨βπ» 7 Β· π 2 Β· π¦ 110 Β· π 7 - 14% open Β· β±οΈ 27.04.2024):
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+ - [ GitHub] ( https://github.com/deepmodeling/dargs ) (π¨βπ» 7 Β· π 2 Β· π¦ 120 Β· π 7 - 14% open Β· β±οΈ 27.04.2024):
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```
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git clone https://github.com/deepmodeling/dargs
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```
194
- - [ PyPi] ( https://pypi.org/project/dargs ) (π₯ 23K / month):
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+ - [ PyPi] ( https://pypi.org/project/dargs ) (π₯ 27K / month):
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```
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pip install dargs
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```
@@ -208,54 +208,66 @@ 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/deepflame-dev
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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 > (π₯15 Β· β 16 Β· π) - APEX: Alloy Properties EXplorer using simulations. <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/APEX ) (π¨βπ» 6 Β· π 14 Β· β±οΈ 06.05.2024):
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+
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+ ```
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+ git clone https://github.com/deepmodeling/APEX
217
+ ```
218
+ - [ PyPi] ( https://pypi.org/project/apex-flow ) (π₯ 190 / month):
219
+ ```
220
+ pip install apex-flow
221
+ ```
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+ </details >
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<details ><summary ><b ><a href =" https://github.com/deepmodeling/dpgui " >DP-GUI</a ></b > (π₯15 Β· β 7) - A web-based GUI for user inputs. <code ><a href =" http://bit.ly/37RvQcA " >LGPL-3.0</a ></code ></summary >
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- - [ GitHub] ( https://github.com/deepmodeling/dpgui ) (π¨βπ» 3 Β· π 4 Β· π¦ 6 Β· β±οΈ 12.04 .2024):
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+ - [ GitHub] ( https://github.com/deepmodeling/dpgui ) (π¨βπ» 3 Β· π 4 Β· π¦ 6 Β· β±οΈ 04.05 .2024):
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```
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git clone https://github.com/deepmodeling/dpgui
217
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```
218
- - [ PyPi] ( https://pypi.org/project/dpgui ) (π₯ 13K / month):
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+ - [ PyPi] ( https://pypi.org/project/dpgui ) (π₯ 16K / month):
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```
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pip install dpgui
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```
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</details >
223
- <details ><summary ><b ><a href =" https://github.com/deepmodeling/dpgen2 " >DPGEN2 </a ></b > (π₯14 Β· β 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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+ <details ><summary ><b ><a href =" https://github.com/deepmodeling/jax-fem " >JAX-FEM </a ></b > (π₯14 Β· β 150 Β· π ) - 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/dpgen2 ) (π¨βπ» 13 Β· π 19 Β· π¦ 2 Β· π 28 - 39 % open Β· β±οΈ 30.04 .2024):
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+ - [ GitHub] ( https://github.com/deepmodeling/jax-fem ) (π¨βπ» 7 Β· π 29 Β· π 22 - 77 % open Β· β±οΈ 08.05 .2024):
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```
228
- git clone https://github.com/deepmodeling/dpgen2
229
- ```
230
- - [ PyPi] ( https://pypi.org/project/dpgen2 ) (π₯ 130 / month):
231
- ```
232
- pip install dpgen2
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+ git clone https://github.com/deepmodeling/jax-fem
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```
234
- - [ Docker Hub ] ( https://hub.docker.com/r/dptechnology/dpgen2 ) (π₯ 2.4K Β· β±οΈ 30.04.2024 ):
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+ - [ PyPi ] ( https://pypi.org/project/jax-fem ) (π₯ 200 / month ):
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```
236
- docker pull dptechnology/dpgen2
244
+ pip install jax-fem
237
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```
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</details >
239
- <details ><summary ><b ><a href =" https://github.com/deepmodeling/jax-fem " >JAX-FEM </a ></b > (π₯13 Β· β 150 ) - Differentiable Finite Element Method with JAX . <code ><a href =" http://bit.ly/2M0xdwT " >GPL -3.0</a ></code ></summary >
247
+ <details ><summary ><b ><a href =" https://github.com/deepmodeling/dpgen2 " >DPGEN2 </a ></b > (π₯14 Β· β 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/jax-fem ) (π¨βπ» 7 Β· π 28 Β· π 22 - 77 % open Β· β±οΈ 01 .05.2024):
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+ - [ GitHub] ( https://github.com/deepmodeling/dpgen2 ) (π¨βπ» 13 Β· π 20 Β· π¦ 2 Β· π 29 - 41 % open Β· β±οΈ 07 .05.2024):
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```
244
- git clone https://github.com/deepmodeling/jax-fem
252
+ git clone https://github.com/deepmodeling/dpgen2
245
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```
246
- - [ PyPi] ( https://pypi.org/project/jax-fem ) (π₯ 190 / month):
254
+ - [ PyPi] ( https://pypi.org/project/dpgen2 ) (π₯ 130 / month):
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```
248
- pip install jax-fem
256
+ pip install dpgen2
257
+ ```
258
+ - [ Docker Hub] ( https://hub.docker.com/r/dptechnology/dpgen2 ) (π₯ 2.4K Β· β±οΈ 07.05.2024):
259
+ ```
260
+ docker pull dptechnology/dpgen2
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```
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</details >
251
- <details ><summary ><b ><a href =" https://github.com/deepmodeling/DMFF " >DMFF</a ></b > (π₯13 Β· β 140 Β· π ) - 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 >
263
+ <details ><summary ><b ><a href =" https://github.com/deepmodeling/DMFF " >DMFF</a ></b > (π₯13 Β· β 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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- [ GitHub] ( https://github.com/deepmodeling/DMFF ) (π¨βπ» 14 Β· π 40 Β· π 25 - 36% open Β· β±οΈ 12.01.2024):
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```
256
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git clone https://github.com/deepmodeling/DMFF
257
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```
258
- - [ Conda] ( https://anaconda.org/conda-forge/dmff ) (π₯ 250 Β· β±οΈ 06.01.2024):
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+ - [ Conda] ( https://anaconda.org/conda-forge/dmff ) (π₯ 270 Β· β±οΈ 06.01.2024):
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```
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conda install -c conda-forge dmff
261
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```
@@ -267,7 +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/rid-kit
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```
270
- - [ PyPi] ( https://pypi.org/project/rid-kit ) (π₯ 97 / month):
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+ - [ PyPi] ( https://pypi.org/project/rid-kit ) (π₯ 140 / month):
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```
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pip install rid-kit
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```
@@ -279,7 +291,7 @@ 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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```
282
- - [ npm] ( https://www.npmjs.com/package/@deepmodeling/args ) (π₯ 310 / month):
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+ - [ npm] ( https://www.npmjs.com/package/@deepmodeling/args ) (π₯ 410 / month):
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```
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npm install @deepmodeling/args
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```
@@ -291,44 +303,32 @@ 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 ) (π₯ 2.3K / month):
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+ - [ PyPi] ( https://pypi.org/project/deepmodeling_sphinx ) (π₯ 2.4K / month):
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```
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pip install deepmodeling_sphinx
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```
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</details >
299
- <details ><summary ><b ><a href =" https://github.com/deepmodeling/APEX " >APEX</a ></b > (π₯11 Β· β 13) - APEX: Alloy Properties EXplorer using simulations. <code ><a href =" http://bit.ly/37RvQcA " >LGPL-3.0</a ></code ></summary >
300
-
301
- - [ GitHub] ( https://github.com/deepmodeling/APEX ) (π¨βπ» 6 Β· π 14 Β· β±οΈ 07.04.2024):
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-
303
- ```
304
- git clone https://github.com/deepmodeling/APEX
305
- ```
306
- - [ PyPi] ( https://pypi.org/project/apex-flow ) (π₯ 90 / month):
307
- ```
308
- pip install apex-flow
309
- ```
310
- </details >
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<details ><summary ><b ><a href =" https://github.com/deepmodeling/fealpy " >fealpy</a ></b > (π₯11 Β· β 2) - Finite Element Analysis Library in Python. <code >Unlicensed</code ></summary >
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- [ GitHub] ( https://github.com/deepmodeling/fealpy ) (π¨βπ» 57 Β· π 2 Β· β±οΈ 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 ) (π₯ 170 / month):
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+ - [ PyPi] ( https://pypi.org/project/fealpy ) (π₯ 180 / 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/deepks-kit " >DeePKS-kit</a ></b > (π₯10 Β· β 97) - a package for developing machine learning-based chemically accurate energy and density functional models. <code ><a href =" http://bit.ly/37RvQcA " >LGPL-3.0</a ></code ></summary >
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- - [ GitHub] ( https://github.com/deepmodeling/deepks-kit ) (π¨βπ» 7 Β· π 32 Β· π 16 - 18 % open Β· β±οΈ 13.04.2024):
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+ - [ GitHub] ( https://github.com/deepmodeling/deepks-kit ) (π¨βπ» 7 Β· π 32 Β· π 17 - 23 % open Β· β±οΈ 13.04.2024):
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```
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git clone https://github.com/deepmodeling/deepks-kit
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```
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</details >
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- <details ><summary ><b ><a href =" https://github.com/deepmodeling/dpti " >dpti</a ></b > (π₯10 Β· β 18 ) - A Python Package to Automate Thermodynamic Integration Calculations for Free Energy. <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/dpti " >dpti</a ></b > (π₯10 Β· β 19 ) - A Python Package to Automate Thermodynamic Integration Calculations for Free Energy. <code ><a href =" http://bit.ly/37RvQcA " >LGPL-3.0</a ></code ></summary >
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- [ GitHub] ( https://github.com/deepmodeling/dpti ) (π¨βπ» 16 Β· π 20 Β· β±οΈ 13.04.2024):
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@@ -352,14 +352,22 @@ This curated list contains 36 awesome open-source projects with a total of 3.1K
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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/blog " >Blog</a ></b > (π₯8 Β· β 1 Β· π) - DeepModeling Blog. <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/blog ) (π¨βπ» 7 Β· π 7 Β· β±οΈ 04.05.2024):
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+
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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/fpop " >fpop</a ></b > (π₯8 Β· β 1) - <code ><a href =" http://bit.ly/37RvQcA " >LGPL-3.0</a ></code ></summary >
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- [ GitHub] ( https://github.com/deepmodeling/fpop ) (π¨βπ» 3 Β· π 7 Β· π¦ 5 Β· β±οΈ 28.02.2024):
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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 ) (π₯ 1.4K / month):
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+ - [ PyPi] ( https://pypi.org/project/fpop ) (π₯ 1.5K / month):
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```
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pip install fpop
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```
@@ -388,14 +396,6 @@ 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 > (π₯7 Β· β 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 ) (π¨βπ» 7 Β· π 7 Β· β±οΈ 18.04.2024):
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-
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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/AI4Science101 " >AI4Science101</a ></b > (π₯6 Β· β 82 Β· π€) - AI for Science. <code >Unlicensed</code ></summary >
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- [ GitHub] ( https://github.com/deepmodeling/AI4Science101 ) (π¨βπ» 5 Β· π 13 Β· β±οΈ 04.09.2022):
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