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100-days-of-ml-code

100-Days-Of-ML-Code中文版

afid

A highly parallel application for Rayleigh-Benard and Taylor-Couette flows

cfdpython

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

cnn-surrogate

Bayesian deep convolutional encoder-decoder networks for surrogate modeling and uncertainty quantification

cylinder2dflowcontroldrl

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

cylinder2dflowcontroldrlparallel

Parallelizing DRL for Active Flow control

deep_flow_control

Source code for "Deep Dynamical Modeling and Control of Unsteady Fluid Flows" from NIPS 2018

deephpms

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

deepmkl

Deep Multiple Kernel Learning by Span Bound

deepreinforcementlearninginaction

Code from the Deep Reinforcement Learning in Action book from Manning, Inc

deepturbulence

Deep Learning of Turbulent Scalar Mixing

deepviv

Deep Learning of Vortex Induced Vibrations

dladmm

drl_shape_optimization

Deep reinforcement learning to perform shape optimization

enm531

ezyrb

Easy Reduced Basis method

fbsnns

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

gptutorial

A hands-on tutorial on supervised learning with Gaussian processes

gradientpathologiespinns

hfm

Hidden Fluid Mechanics

hwstatuscodeautoquery

华为招聘状态码全天候在线自动查询工具

ibpm

Immersed Boundary Projection Method

keras

Deep Learning for humans

labelfree-dnn-surrogate

Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning

lagrangian-averaged-vorticity-deviation-lavd

LAVD is a tool to detect Rotationally coherent Lagrangian vortices automatically in 2D/3D unsteady flows

locally-adaptive-activation-functions-neural-networks-

These are the set of python codes for Locally Adaptive Activation Function (LAAF) used in deep neural networks. Please cite this work as "A D Jagtap, K Kawaguchi, G E Karniadakis, Locally adaptive activation functions with slope recovery for deep and physics-informed neural networks, Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 20200334, 2020. (http://dx.doi.org/10.1098/rspa.2020.0334)".

modred

Modred main repository

mrcae

a multiresolution convolutional autoencoder architecture

multistepnns

Multistep Neural Networks for Data-driven Discovery of Nonlinear Dynamical Systems

neupy

NeuPy is a Python library for Artificial Neural Networks and Deep Learning.