benmoseley / harmonic-oscillator-pinnLinks
Code accompanying my blog post: So, what is a physics-informed neural network?
☆631Updated 3 years ago
Alternatives and similar repositories for harmonic-oscillator-pinn
Users that are interested in harmonic-oscillator-pinn are comparing it to the libraries listed below
Sorting:
- Introductory workshop on PINNs using the harmonic oscillator☆128Updated 4 months ago
- Physics-Informed Neural networks for Advanced modeling☆566Updated this week
- Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs…☆451Updated 2 months ago
- ☆205Updated last year
- Physics Informed Machine Learning Tutorials (Pytorch and Jax)☆581Updated 6 months ago
- PINNs-TF2, Physics-informed Neural Networks (PINNs) implemented in TensorFlow V2.☆138Updated last year
- All the handwritten notes 📝 and source code files 🖥️ used in my YouTube Videos on Machine Learning & Simulation (https://www.youtube.co…☆1,058Updated 3 months ago
- Playing around with Phyiscs-Informed Neural Networks☆89Updated 2 months ago
- OSS library that implements deep learning methods for partial differential equations and much more☆451Updated 2 months ago
- ☆192Updated 2 years ago
- Basic implementation of physics-informed neural networks for solving differential equations☆94Updated 8 months ago
- A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, i…☆758Updated last month
- Investigating PINNs☆653Updated 4 years ago
- Simple PyTorch Implementation of Physics Informed Neural Network (PINN)☆327Updated last year
- IPython notebooks with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Sy…☆930Updated last year
- This repository is the official project page of the course AI in the Sciences and Engineering, ETH Zurich.☆262Updated 4 months ago
- ETH Zürich Deep Learning in Scientific Computing Master's course 2023☆116Updated last year
- ☆342Updated last week
- Deep learning for Engineers - Physics Informed Deep Learning☆350Updated last year
- Physics-informed neural networks package☆323Updated 3 years ago
- PyTorch Implementation of Physics-informed Neural Networks☆655Updated last year
- Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]☆248Updated 3 years ago
- physics-informed neural network and inverse physics-informed neural network☆14Updated 2 years ago
- This repository contains a number of Jupyter Notebooks illustrating different approaches to solve partial differential equations by means…☆178Updated 4 years ago
- Tutorials for Physics-Informed Neural Networks☆89Updated last year
- Physics Informed Neural Network (PINN) for the wave equation.☆186Updated 5 years ago
- A place to share problems solved with SciANN☆287Updated last year
- Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric …☆1,185Updated last week
- TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).☆262Updated last year
- IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.☆235Updated 11 months ago