yamamo888

OpenFOAM

OpenFOAM samples

mathcodes

my codes for math or phys, and so on

PycharmProjects

Burgers-equation-convection-diffusion-in-2D

Solving Burgers equation using Python

Semantic-Autoencoder-Paper

This is the code for the paper: Self-supervised Learning with Physics-aware Neural Networks I: Galaxy Model Fitting

gym

A toolkit for developing and comparing reinforcement learning algorithms.

maelstrom

Numerical simulation of magnetohydrodynamics.

pywaves

2D_Fluid_Simulation_Python-HSP

流体力学のサンプルコード、言語はPythonまたはHSP

ragnarok

Ragnarok is a library for solving lattice boltzmann

arXivTimes

repository to research & share the machine learning articles

showreel

Source material for the Braneshop Showreel

PGNN

Physics-guided Neural Networks (PGNN) : An Application In Lake Temperature Modelling

List-of-Differentiable--OPs-and-Non-differentiable-OPs--in-Tensorflow

BayesianOptimization

A Python implementation of global optimization with gaussian processes.

BayesianOptimization

ベイズ最適化の練習

DeepBSDE

Deep BSDE solver in TensorFlow

CFDPython

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

PyPDE

A Python library for solving any system of hyperbolic or parabolic Partial Differential Equations. The PDEs can have stiff source terms and non-conservative components.

face-classifier-cnn

顔写真から人を特定するCNN分類器とデータセット作成ツール

CycleGAN

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

tfdiffeq

Tensorflow implementation of Ordinary Differential Equation Solvers with full GPU support

interp-net

Code for "Interpolation-Prediction Networks for Irregularly Sampled Time Series", ICLR 2019.

VIforSDEs

A variational method for fast, approximate inference for stochastic differential equations.

latent_ode

Code for "Latent ODEs for Irregularly-Sampled Time Series" paper

torchdiffeq

Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.

ibpm

Immersed Boundary Projection Method

PINNs

Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations

deepxde

A library for scientific machine learning and physics-informed learning

reaction-diffusion

Some Python examples to obtain reaction-diffusion results and animations.