Longforyou's repositories
CohesiveForce
This is the place for downloading Python scripts for fitting experimental organic PDF and fitting T-dep ADPs with a Debye model.
2d-lbm-dem
2D LBM DEM
Adversarial-video-summarization-pytorch
video summarization lstm-gan pytorch implementation
Awesome-CV
:page_facing_up: Awesome CV is LaTeX template for your outstanding job application
awesome-scientific-writing
:keyboard: A curated list of awesome tools, demos and resources to go beyond LaTeX
Computational-Physics-and-Machine-Learning-Reading-List
A list of papers relating Computational Physics and Machine Learning
COOLFluiD
The object-oriented HPC platform for CFD, plasma and multi-physics simulations whose development started in 2002 at the Von Karman Institute for Fluid Dynamics is finally open!
CudaDsmc
CUDA implementation of a Direct Simulation Monte Carlo method for gas dynamics
data-assisted
Code for data-assisted reduced-order modeling of extreme events in complex dynamical systems, available on arXiv: https://arxiv.org/abs/1803.03365
Deep-Flow-Prediction
A framework for fluid flow (Reynolds-averaged Navier Stokes) predictions with deep learning
deepmd-kit
A deep learning package for many-body potential energy representation and molecular dynamics
Guide-to-Scientific-Computing-in-C-Plus-Plus
C++ implementation of examples
incompact3dForNanofluid
TBL & variable fluid property simulation via incompact3d
LBM
Lattice Boltzmann Method Implementation in MATLAB for Curved Boundaries
LBM-1
Lattice Boltzmann Method for CFD coupled with mass and heat transfer.
LeetCode-Go
✅ Solutions to LeetCode by Go, 100% test coverage, runtime beats 100% / LeetCode 题解
LightML.jl
Minimal and clean examples of machine learning algorithms implemented in Julia
LUDecomposition
Three framework comparison for LU decomposition
MachineLearning_Python
机器学习算法python实现
OpenGL_LatticeBoltzmannOpenflow2D
C++, OpenGL(GLFW) implementation of Lattice Boltzmann Openflow simulation
Physics-Based-Deep-Learning
Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond
PyDisperser
Monte Carlo method for studying the behavior of a dispersant inserted into a steady boundary layer channel flow.
pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
Serial-to-Parallel--Monte-Carlo-Pi
This tutorial covers how to write a parallel program to calculate π using the Monte Carlo method with MPI and OpenMP
vtktools
Some tools for working with unstructured data