pinns 开源项目推荐（156 个）

rezaakb /pinns-torch

PINNs-Torch，在PyTorch中实现的基于物理的神经网络（PINN）。

prateekbhustali /Physics-Informed-Neural-Networks

调查PINNs

jayroxis /PINNs

PyTorch 物理知情神经网络的实现

jdtoscano94 /NABLA-SciML

Physics Informed Machine Learning Tutorials (Pytorch and Jax)

benmoseley /harmonic-oscillator-pinn

Code accompanying my blog post: So, what is a physics-informed neural network?

benmoseley /FBPINNs

Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs)

levimcclenny /SA-PINNs

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

alexpapados /Physics-Informed-Deep-Learning-Solid-and-Fluid-Mechanics

利用物理知情深度学习（PIDL）技术（W-PINNs-DE 和 W-PINNs）求解正向和逆流体动力激波管问题以及平面应力线性弹性边界值问题

314arhaam /heat-pinn

A Physics-Informed Neural Network to solve 2D steady-state heat equations.

rezaakb /pinns-tf2

PINNs-TF2，物理知情神经网络（PINNs），在TensorFlow V2中实现。

benmoseley /harmonic-oscillator-pinn-workshop

使用谐振子的PINN入门研讨会

tum-pbs /ConFIG

[ICLR2025 Spotlight] Official implementation of Conflict-Free Inverse Gradients Method

tensordiffeq /TensorDiffEq

Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed computing

rezaakb /pinns-jax

PINNs-JAX, Physics-informed Neural Networks (PINNs) implemented in JAX.

YichengDWu /Sophon.jl

Efficient, Accurate, and Streamlined Training of Physics-Informed Neural Networks

mia-jinns /jinns

Physics Informed Neural Networks (PINNs) + SPINNs + HyperPINNs + Adaptative Loss Weights with JAX 📓 Check out our various notebooks to get started ⚠️ Mirror repository of jinns (development happens on Gitlab)

MachineLearningJournalClub /MLJC-UniTo-ProjectX-2020-public

Public repository for the proposal “Physics-Informed Machine Learning Simulator for Wildfire Propagation” - MLJC University of Turin - ProjectX2020 Competition (UofT AI)

oscar-rincon /Replication-PINNs

Replication with PyTorch of ''Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations'' by M. Raissi, P. Perdikaris, and G.E. Karniadakis from 2019.

BBahtiri /Deep-Learning-Constitutive-Model

A physics-informed deep learning (DL)-based constitutive model for investigating epoxy based composites under different ambient conditions.

comp-physics /CPINN

Competitive Physics Informed Networks