runfa-zhang Goto Github PK

bsp

cdgks-like

2 examples to get exact analitical solution of CDGKS-like equation

characterizing-pinns-failure-modes

Characterizing possible failure modes in physics-informed neural networks.

deepxde

A library for scientific machine learning

exact-analytical-solution-of-pde

gbreakingsoliton

Bilinear Transformation & 5 examples to get analitical solution of gBS equation

gradient-descent-r-demo

Implementation of vanilla gradient descent, Newton’s method, damped Newton’s method, conjugate gradient descent method, momentum, Nesterov accelerated gradient, Adagrad, Adadelta/RMSprop, and Adam.

juliacn

meetupmaterials

Julia中文社区活动的各种材料 Meetup Materials

neuralpde.github.io

neuralpde.jl

Physics-Informed Neural Networks (PINN) and Deep BSDE Solvers of Differential Equations for Scientific Machine Learning (SciML) accelerated simulation

neurpde

pydens

PyDEns is a framework for solving Ordinary and Partial Differential Equations (ODEs & PDEs) using neural networks

runfa-zhang.github.io

sa-pinns

Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]

sophon.jl

Neural networks and neural operators for physics-informed machine learning

symbolic_generalization

Symbolic Brittleness in Sequence Models: on Systematic Generalization in Symbolic Mathematics (AAAI 2022)