SiHubb

SiHubb's Stars

• guillaumechauvat/SHM_test

  test case for SnappyHexMesh with a bent pipe

  Language:C++11

• ProjectPhysX/FluidX3D

  The fastest and most memory efficient lattice Boltzmann CFD software, running on all GPUs via OpenCL. Free for non-commercial use.

  Language:C++3.9k306

• sthavishtha/list-lattice-Boltzmann-codes

  Curated list of some open source codes employing lattice Boltzmann methods

  18543

• halbux/sparselizard

  C++ FEM library | user-friendly | multi-physics | hp-adaptive | HPC

  Language:C++33262

• InteractiveComputerGraphics/SPlisHSPlasH

  SPlisHSPlasH is an open-source library for the physically-based simulation of fluids.

  Language:C++1.6k288

• damogranlabs/classy_blocks

  Python classes for easier creation of OpenFOAM's blockMesh dictionaries.

  Language:Python12635

• fangq/mmc

  Mesh-based Monte Carlo (MMC)

  Language:C3732

• NVIDIAGameWorks/kaolin

  A PyTorch Library for Accelerating 3D Deep Learning Research

  Language:Python4.5k552

• ToughStoneX/DGCNN

  a pytorch implimentation of Dynamic Graph CNN(EdgeConv)

  Language:Python7614

• numericalalgorithmsgroup/NAGPythonExamples

  Examples and demos showing how to call functions from the NAG Library for Python

  Language:Jupyter Notebook6123

• Yochengliu/awesome-point-cloud-analysis

  A list of papers and datasets about point cloud analysis (processing)

  4k944

• synthetik-technologies/blastfoam

  A CFD solver for multi-component compressible flow with application to high-explosive detonation, explosive safety and air blast

  Language:C21996

• SheffieldML/GPyOpt

  Gaussian Process Optimization using GPy

  Language:Jupyter Notebook928261

• bayesian-optimization/BayesianOptimization

  A Python implementation of global optimization with gaussian processes.

  Language:Python7.9k1.5k

• greatspn/SOURCES

  Main repository of the GreatSPN framework

  Language:C++4213

• GPflow/GPflowOpt

  Bayesian Optimization using GPflow

  Language:Python27061

• AndreWeiner/machine-learning-applied-to-cfd

  Examples of how to use machine learning algorithms in computational fluid dynamics.

  Language:Jupyter Notebook23986

• fpom/snakes

  SNAKES is the Net Algebra Kit for Editors and Simulators

  Language:Python8929

• lexfridman/mit-deep-learning

  Tutorials, assignments, and competitions for MIT Deep Learning related courses.

  Language:Jupyter Notebook10.2k2.2k

• amueller/scipy_2015_sklearn_tutorial

  Scikit-Learn tutorial material for Scipy 2015

  Language:Python577311

• jibranhaider/explicitSolidDynamics

  Cell centred code for explicit solid dynamics in OpenFOAM

  Language:C5823

• SunchaiA/rasbt-python-machine-learning-book

  https://github.com/rasbt/python-machine-learning-book

  Language:Jupyter Notebook6826

• wyldckat/DESModelRegions

  Bringing back DESModelRegions to OpenFOAM 5 and 6

  Language:C51

• dennybritz/reinforcement-learning

  Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

  Language:Jupyter Notebook20.5k6k

• wyldckat/cgnsToFromFoam

  Port of cgnsToFoam from TurbMachinery SIG to OpenFOAM 5.x and newer

  Language:C++136