jinghu32

jinghu32's Stars

• uf3/uf3

  UF3: a python library for generating ultra-fast interatomic potentials

  Language:Python6324

• CompPhysVienna/n2p2

  n2p2 - A Neural Network Potential Package

  Language:C++23286

• rashidrafeek/Quantum-ESPRESSO-scripts

  Python scripts to postprocess Quantum Espresso calclations.

  Language:Python185

• fenggo/I-ReaxFF

  I-ReaxFF: stand for Intelligent-Reactive Force Field

  Language:Python3110

• ykanematsu/reaxfit

  Language:Jupyter Notebook11

• msu-sparta/PuReMD

  Language:GLSL8

• EoinMcEvoy/Neo-Hooke-VUMAT

  Abaqus VUMAT fortran subroutine for a Neo-Hookean material

  Language:Fortran1210

• apachecn/hands-on-ml-zh

  :book: [译] Sklearn 与 TensorFlow 机器学习实用指南【版权问题，网站已下线！！】

  Language:CSS3.7k1.5k

• sim42/SCML

  Scientific Computing and Machine Learning - Online Course by DeepThought Science

  Language:Jupyter Notebook3912

• cagrikymk/JAX-ReaxFF

  JAX-ReaxFF: A Gradient Based Framework for Extremely Fast Optimization of Reactive Force Fields

  Language:Python5924

• yiming-xu/LAMMPS_Simulation

  Simulation Input/Output for LAMMPS with ReaxFF for Atomistic Corrosion Modelling

  Language:Jupyter Notebook305

• winterPack/ReaxFF-Optimization

  Training code used to optimize reaxff force field (via LAMMPS)

  Language:Python196

• df398/flocky

  Training reactive potentials with on the fly regularization and uncertainty quantification

  Language:Fortran82

• stevengj/nlopt

  library for nonlinear optimization, wrapping many algorithms for global and local, constrained or unconstrained, optimization

  Language:C2k613

• mertyigit/INDEEDopt

  An optimization framework using Latin Hypercube Design and deep learning to explore high-dimensional parameter spaces.

  Language:Python2710

• Anduin2017/HowToCook

  程序员在家做饭方法指南。Programmer's guide about how to cook at home (Simplified Chinese only).

  Language:Dockerfile69.3k8.8k

• perkfly/reverse-interview-zh

  技术面试最后反问面试官的话

  17.8k1.4k

• IrisRainbowNeko/genshin_auto_fish

  基于深度强化学习的原神自动钓鱼AI

  Language:Python4.8k716

• jayoswald/ibi-coarse-graining

  A set of python scripts for automating iterative the iterative Boltzmann inversion method using LAMMPS.

  Language:Python121

• jag1g13/pycgtool

  Generate coarse-grained molecular dynamics models from atomistic trajectories.

  Language:Python6112

• Tsjerk/Backward

  Mapping from Coarse Grain Models to Atomistic (and Back)

  Language:Python158

• Tsjerk/Insane

  INSert membrANE - A simple, versatile tool for building coarse-grained simulation systems

  Language:Python5429

• cgmartini/martinize.py

  Create coarse grain Martini input files for Gromacs from (atomistic) pdb files.

  Language:Python3227

• whitead/ForcePy

  Coarse-graining library that implements Force-matching

  Language:Python115

• uchicago-voth/cgmap

  Simple fine-grained to coarse-grained molecular dynamics mapping code

  Language:Python65

• uchicago-voth/MSCG-release

  Public Releases of the Voth Group's Multi-scale Coarse-graining (MS-CG) code that calculates CG interactions via force matching (FM)

  Language:C++259

• votca/csg

  Coarse-graining potentials from atomistic references made easy

  2624

• Avik-Jain/100-Days-of-ML-Code-Chinese-Version

  Chinese Translation for Machine Learning Infographics

  Language:Python3.4k941

• Avik-Jain/100-Days-Of-ML-Code

  100 Days of ML Coding

  46.5k10.8k

• llSourcell/100_Days_of_ML_Code

  These are the instructions for "100 Days of ML Code" By Siraj Raval on Youtube

  877236