HCwinwinwin
Huazhong University of Science and Technology | hust · School of Energy and Power Engineering
HustHubei
HCwinwinwin's Stars
udlbook/udlbook
Understanding Deep Learning - Simon J.D. Prince
xiaoh/sediFoam
CFD-DEM Solver with emphasis on sediment transport
DiceDB/dice
DiceDB is a redis-compliant, reactive, scalable, highly-available, unified cache optimized for modern hardware.
lanl/MF-LBM
MF-LBM: A Portable, Scalable and High-performance Lattice Boltzmann Code for DNS of Flow in Porous Media
jviquerat/lbm
A simple full-python 2D lattice-boltzmann code
pydata/bottleneck
Fast NumPy array functions written in C
acuoci/edcSMOKE
EDC (Eddy Dissipation Concept) for OpenFOAM based on the OpenSMOKE++ Library
OpenFOAM/OpenFOAM-dev
OpenFOAM Foundation development repository
acuoci/laminarSMOKE
CFD solver (based on OpenFOAM) for laminar reacting flow with detailed kinetic mechanisms based on OpenSMOKE++
acuoci/flameletSMOKE
CFD solver for turbulent non-premixed flames based on the steady laminar flamelet model
binance/binance-futures-connector-python
Simple python connector to Binance Futures API
freqtrade/freqtrade
Free, open source crypto trading bot
RubyMetric/chsrc
chsrc 全平台通用换源工具与框架. Change Source everywhere for every software
ansys/pyfluent-parametric
Pythonic interface to Ansys Fluent parametric
ansys/pyfluent
Pythonic interface to Ansys Fluent
srl-ethz/Foam-mesh-reading
garrettj403/SciencePlots
Matplotlib styles for scientific plotting
jx-wang-s-group/ppnn
PDE Preserved Neural Network
cornellius-gp/gpytorch
A highly efficient implementation of Gaussian Processes in PyTorch
lettucecfd/lettuce
Computational Fluid Dynamics based on PyTorch and the Lattice Boltzmann Method
starship/starship
☄🌌️ The minimal, blazing-fast, and infinitely customizable prompt for any shell!
stefan-jansen/machine-learning-for-trading
Code for Machine Learning for Algorithmic Trading, 2nd edition.
bobbyiliev/introduction-to-git-and-github-ebook
Free Introduction to Git and GitHub eBook
ansh/jiffyreader.com
A Browser Extension for faster reading on ANY website!
dmlc/dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
sungyongs/dpgn
Differentiable Physics-informed Graph Networks
XGilmar/JetBrains-reset-trial
Restore Jetbrains IDE free license
echowve/meshGraphNets_pytorch
PyTorch implementations of Learning Mesh-based Simulation With Graph Networks
mml-book/mml-book.github.io
Companion webpage to the book "Mathematics For Machine Learning"
luo-yining/CFDBench
A large-scale benchmark for machine learning methods in fluid dynamics