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#

physics-informed-neural-networks

Here are 314 public repositories matching this topic...

neurodiffeq

A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, including at Harvard IACS.

  • UpdatedJul 27, 2025
  • Python

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

  • UpdatedJun 13, 2025
  • Python

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

  • UpdatedMar 22, 2022
  • Jupyter Notebook

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

  • UpdatedNov 27, 2025
  • Python

Simple PyTorch Implementation of Physics Informed Neural Network (PINN)

  • UpdatedJul 5, 2024
  • Jupyter Notebook

IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.

  • UpdatedOct 21, 2024
  • Python

Using Physics-Informed Deep Learning (PIDL) techniques (W-PINNs-DE & W-PINNs) to solve forward and inverse hydrodynamic shock-tube problems and plane stress linear elasticity boundary value problems

  • UpdatedFeb 21, 2023
  • Python

A toolkit with data-driven pipelines for physics-informed machine learning.

  • UpdatedSep 17, 2025
  • Python

A JAX-based research framework for differentiable and parallelizable acoustic simulations, on CPU, GPUs and TPUs

  • UpdatedSep 17, 2024
  • Python

A pytorch implementaion of physics informed neural networks for two dimensional NS equation

  • UpdatedApr 7, 2024
  • Python
heat-pinn

PINNs-TF2, Physics-informed Neural Networks (PINNs) implemented in TensorFlow V2.

  • UpdatedMay 23, 2024
  • Python

Introductory workshop on PINNs using the harmonic oscillator

  • UpdatedNov 19, 2025
  • Jupyter Notebook

A Framework for Remaining Useful Life Prediction Based on Self-Attention and Physics-Informed Neural Networks

  • UpdatedJan 28, 2024
  • Python

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

  • UpdatedMar 1, 2022
  • Python

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