sumantkrsoni Goto Github PK

18337

18.337 - Parallel Computing and Scientific Machine Learning

deep-pde-solvers

Unbiased Deep Learning based Solvers for parametric PDEs

deepbsde

Deep BSDE solver in TensorFlow

deepbsde-clone

An implementation of Frank Han's Deep BSDE Solver (Weinan, E., Jiequn Han, and Arnulf Jentzen. "Deep learning-based numerical methods for high-dimensional parabolic partial differential equations and backward stochastic differential equations." Communications in Mathematics and Statistics 5.4 (2017): 349-380)

deepgalerkinmethod

Companion code for "Solving Nonlinear and High-Dimensional Partial Differential Equations via Deep Learning" by A. Al-Aradi, A. Correia, D. Naiff, G. Jardim and Y. Saporito (https://arxiv.org/abs/1811.08782)

deepviv

Deep Learning of Vortex Induced Vibrations

deepxde

Deep learning library for solving differential equations

fourier_neural_operator

Use Fourier transform to learn operators in differential equations.

freefem-doc

FreeFEM user documentation

freefem-intro

Codes and materials for the "Introduction to finite element using FreeFEM" series.

hfm

Hidden Fluid Mechanics

hp-vpinns

hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations

latex-tutorial

Introduction to LaTex for Beginners

mim_boundary_condition

ml_notes

My notes and codes for machine learing.

moulin2019al

Augmented Lagrangian Preconditioner for Hydrodynamic Stability Analysis

nangs

Solving PDEs with NNs

neural-networks-for-differential-equations

UNIVR PDE course project and just for fun

neurodiffeq

A light-weight & flexible library for solving differential equations using neural networks based on PyTorch. Spatial-temporal ODEs and PDEs are both supported.

nnode

Neural network code for solving ordinary and partial differential equations

physics-based-deep-learning

Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond

physicsinformedpointnetporousmedia

Prediction of Fluid Flow in Porous Media by Sparse Observations and Physics-Informed PointNet

pinn

Simple PyTorch Implementation of Physics Informed Neural Network (PINN)

pinn_tf2_nls

Tensorflow 2 implementation of physics-informed neural network using Schrodinger simulation data (Raizzi et al. 2017)

pinns

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

pinns-pytorch

PyTorch Implementation of Physics-informed Neural Networks

pinns-tf2.0

TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).

pinns-tutorial

pinnsntk

pytorch-tutorials

Pytorch implementation for solving the differential equations