fluid126 Goto Github PK

adversarial

Code and hyperparameters for the paper "Generative Adversarial Networks"

airplane-project

Use machine learning to predict level of turbulence based on plane data.

algorithm-visualizer

:fireworks:Interactive Online Platform that Visualizes Algorithms from Code

bayesianoptimization

A Python implementation of global optimization with gaussian processes.

blendedmaxeyriley

bulbea

:boar: :bear: Deep Learning based Python Library for Stock Market Prediction and Modelling

butterfly

:butterfly: A light python API for creating and running OpenFoam cases for CFD simulation.

certigrad

Bug-free machine learning on stochastic computation graphs

cfd-python

exercises Anderson's CFD book python

cfdpython

A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/

cnnforcfd

This folder contains a sample code for the use of convolutional neural network for fluid force prediction of bluff body flows.

computational-fluid-dynamics-machine-learning-examples

This repo contains some tutorial type programs showing some basic ways machine learning can be applied to CFD.

cwru-1

Multiclass classification of vibration signals of faulty bearings

cylinder2dflowcontroldrl

code for performing active flow control of the 2D Karman street using Deep Reinforcement Learning

cylinder2dflowcontrolgeneral

Robust active flow control over a range of Reynolds numbers using artificial neural network trained through deep reinforcement learning

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

deephpms

Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations

deepturbulence

Deep Learning of Turbulent Scalar Mixing

deepviv

Deep Learning of Vortex Induced Vibrations

deepxde

Deep learning library for solving differential equations

dmm

Deep Markov Models

dtocean-hydrodynamics

Hydrodynamics module for the DTOcean tools

emm-for-stock-prediction

We propose a model to analyze sentiment of online stock forum and use the information to predict stock volatility in the Chinese market. By generating a sentimental dictionary, we analyze the sentimental tendencies of each post as sentiment indicators. Such sentimental information will be fused with market data for prediction based on Recurrent Neural Networks (RNNs). We manually labeled the sentiment of forum post and make the data public available for research. Empirical evidence shows that 8 of the 10 stocks perform better with sentimental indicators.

falling-liquid-film-drl

The code used, and a docker image to run it, of the paper `Exploiting locality and physical invariants to design effective Deep Reinforcement Learning control of the unstable falling liquid film`

fbsnns

Forward-Backward Stochastic Neural Networks: Deep Learning of High-dimensional Partial Differential Equations

ferocious-cucumber

Toy implementation of QRS surface metrics for extreme event prediction quality

fsi

FSI interface between Metafor & SU2

gpflow

Gaussian processes in TensorFlow

hangzhou_house_knowledge

2017年买房经历总结出来的买房购房知识分享给大家，希望对大家有所帮助。买房不易，且买且珍惜。Sharing the knowledge of buy an own house that according to the experience at hangzhou in 2017 to all the people. It's not easy to buy a own house, so I hope that it would be useful to everyone.

hfm

Hidden Fluid Mechanics