A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.
☆27Sep 30, 2021Updated 4 years ago
Alternatives and similar repositories for PiSL
Users that are interested in PiSL are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- This repo includes the dataset/code of 3D Convolutional Neural Network for material property prediction☆20Aug 15, 2020Updated 5 years ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆33Mar 19, 2026Updated 3 weeks ago
- Physics-informed learning of governing equations from scarce data☆170Jul 19, 2023Updated 2 years ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆169May 15, 2024Updated last year
- Physics-encoded recurrent convolutional neural network☆48Jan 3, 2022Updated 4 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- An automatic knowledge embedding framework for scientific machine learning☆23May 15, 2022Updated 3 years ago
- Reduced-Order Modeling of Fluid Flows with Transformers☆25May 30, 2023Updated 2 years ago
- Encoding physics to learn reaction-diffusion processes☆110Aug 28, 2023Updated 2 years ago
- XPINN code written in TensorFlow 2☆28Feb 1, 2023Updated 3 years ago
- A python package for physics-informed machine learning for solving partial differential equations☆13Feb 12, 2025Updated last year
- Boosting the training of physics informed neural networks with transfer learning☆27Jun 5, 2021Updated 4 years ago
- Symbolic physics learner: Discovering governing equations via Monte Carlo tree search☆27Jun 17, 2023Updated 2 years ago
- Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)☆34Dec 4, 2023Updated 2 years ago
- Physics-informed deep super-resolution of spatiotemporal data☆48Sep 5, 2023Updated 2 years ago
- Wordpress hosting with auto-scaling - Free Trial • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- TensorFlow 2.0 implementation of Yibo Yang, Paris Perdikaris’s adversarial Uncertainty Quantification in Physics Informed Neural Networks…☆21Mar 25, 2023Updated 3 years ago
- physics-informed neural network for elastodynamics problem☆161Jan 20, 2022Updated 4 years ago
- This is the official implementation of physics-informed neural networks for functional differential equations (Functional PINN) proposed …☆12Apr 9, 2025Updated last year
- ☆28Jun 12, 2025Updated 10 months ago
- ☆36Sep 13, 2025Updated 7 months ago
- PyTorch implementation of the EQL network, a neural network for symbolic regression☆42Apr 14, 2021Updated 5 years ago
- This is the implementation of the PI-UNet for HSL-TFP☆28Feb 19, 2023Updated 3 years ago
- Simplified implementation of locally adaptive activation functions (LAAF) with slope recovery for deep and physics-informed neural networ…☆31Mar 8, 2021Updated 5 years ago
- ☆10Mar 8, 2023Updated 3 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Graph Convolutional Networks for Unstructured Flow Fields☆14Sep 5, 2022Updated 3 years ago
- ☆11Mar 31, 2021Updated 5 years ago
- DON-LSTM: Multi-Resolution Learning with DeepONets and Long-Short Term Memory Neural Networks☆10Sep 4, 2025Updated 7 months ago
- code of paper "Robust and kernelized data-enabled predictive control for nonlinear systems"☆20Sep 4, 2023Updated 2 years ago
- Physics-Informed Neural Networks for solving PDEs (bachelor project)☆10Mar 20, 2023Updated 3 years ago
- Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations wi…☆70May 22, 2024Updated last year
- The source code the for the ICLR'24 paper "Stabilizing Backpropagation Through Time to Learn Complex Physics"☆11May 17, 2024Updated last year
- Code to accompany the paper "Discovery of Physics from Data: Universal Laws and Discrepancies"☆27Jun 25, 2020Updated 5 years ago
- ☆13Dec 5, 2022Updated 3 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- Equation Learner, a neural network approach to symbolic regression☆88Sep 24, 2024Updated last year
- POD-PINN code and manuscript☆58Nov 10, 2024Updated last year
- Gradient-based adaptive sampling algorithms for self-supervising PINNs☆28May 8, 2023Updated 2 years ago
- Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning☆96Aug 17, 2023Updated 2 years ago
- Official repository for the paper "Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery"☆77Mar 24, 2023Updated 3 years ago
- This repository offers a collection of simulation datasets from mechanical simulations of metamaterials. Jupyter notbooks demonstrate how…☆17Nov 1, 2022Updated 3 years ago
- 🌌 Applications of Physics-Informed ML: A collection of notebooks from my Masters research, exploring how machine learning can solve scie…☆11Nov 9, 2024Updated last year