Pinned Repositories
1D_Euler_DiffEOS
1D Euler eqs. with different equation of state for air-plastic-water interface
2D-Navier-Stokes-Solver
As the field of Computational Fluid Dynamics (CFD) progresses, the fluid flows are more and more analysed by using simulations with the help of high speed computers. In order to solve and analyse these fluid flows we require intensive simulation involving mathematical equations which governs the fluid flow, these are Navier Stokes (NS) equation. Solving these equations has become a necessity as almost every problem which is related to fluid flow analysis call for solving of Navier Stokes equation. These NS equations are partial differential equations so different numerical methods are used to solve these equations. Solving these partial differential equations so different numerical methods requires large amount of computing power and huge amount of memory is in play. Only practical feasible way to solve these equation is write a parallel program to solve them, which can then be run on powerful hardware capable of parallel processing to get the desired results High speed supercomputer will provide us very good performance in terms of reduction in execution time. In paper focus will be on finite volume as a numerical method. We will also see what GPGPU (General-Purpose computing on Graphics Processing Units) is and how we are taking its advantages to solve CFD problems.
2d-reactive-ns
amrclaw
AMR version of Clawpack
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
B53617
BatCan
Battery--Cantera: Modeling fundamental physical chemistry in batteries using Cantera.
bert
TensorFlow code and pre-trained models for BERT
BERT-pytorch
Google AI 2018 BERT pytorch implementation
BoxLib
Block-Structured AMR Framework
wenkailiang's Repositories
wenkailiang/2d-reactive-ns
wenkailiang/awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
wenkailiang/B53617
wenkailiang/BatCan
Battery--Cantera: Modeling fundamental physical chemistry in batteries using Cantera.
wenkailiang/bert
TensorFlow code and pre-trained models for BERT
wenkailiang/BERT-pytorch
Google AI 2018 BERT pytorch implementation
wenkailiang/chemprop
Message Passing Neural Networks for Molecule Property Prediction
wenkailiang/CombML_Tutorials
Basic tutorials of supervised, unsupervised, and reinforcement learning
wenkailiang/cp2k
Quantum chemistry and solid state physics software package
wenkailiang/CP2K_for_Windows
CP2K binaries for 32bit Windows
wenkailiang/ember
Quasi-1D Unsteady Flame Solver
wenkailiang/faster-rcnn.pytorch
A faster pytorch implementation of faster r-cnn
wenkailiang/hikyuu
Hikyuu Quant Framework 基于C++/Python的开源量化交易研究框架
wenkailiang/machine-learning
Content for Udacity's Machine Learning curriculum
wenkailiang/MachineLearning
Basic Machine Learning and Deep Learning
wenkailiang/MESS
a master equation system solver
wenkailiang/NGA2
Object-oriented multi-mesh version of the classic reacting turbulent multiphase flow solver
wenkailiang/PyCSP
A collection of tools based on Computational Singular Perturbation for the analysis of chemically reacting systems
wenkailiang/PyDAS
A Python wrapper for the DASSL, DASPK, and DASKR differential algebraic system solvers
wenkailiang/PyFR
PyFR
wenkailiang/python-fortran
Python-Fortran bindings examples
wenkailiang/pytorch-cnn-visualizations
Pytorch implementation of convolutional neural network visualization techniques
wenkailiang/QUANTAXIS
QUANTAXIS
wenkailiang/QuantEcon.py
A community based Python library for quantitative economics
wenkailiang/QuantLib
The QuantLib C++ library
wenkailiang/RMG-Py
Python version of the amazing Reaction Mechanism Generator (RMG).
wenkailiang/RXMD
RXMD : Linear-Scaling Parallel Reactive Molecular Dynamics Simulation Engine
wenkailiang/TChem
TChem - A Software Toolkit for the Analysis of Complex Kinetic Models
wenkailiang/tech-interview-handbook
💯 Curated interview preparation materials for busy engineers
wenkailiang/torchphysics