IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.
☆247Oct 21, 2024Updated last year
Alternatives and similar repositories for idrlnet
Users that are interested in idrlnet are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed c…☆118Mar 1, 2022Updated 4 years ago
- Must-read Papers on Physics-Informed Neural Networks.☆1,470Dec 8, 2023Updated 2 years ago
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆91Jan 24, 2021Updated 5 years ago
- A place to share problems solved with SciANN☆309Nov 6, 2023Updated 2 years ago
- Deep learning for Engineers - Physics Informed Deep Learning☆365Dec 20, 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.
- A library for scientific machine learning and physics-informed learning☆4,049Mar 1, 2026Updated last month
- Physics-informed neural networks package☆346Jul 20, 2022Updated 3 years ago
- Physics-informed neural network for solving fluid dynamics problems☆271Jan 28, 2021Updated 5 years ago
- Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated s…☆1,184Updated this week
- Using Physics-Informed Deep Learning (PIDL) techniques (W-PINNs-DE & W-PINNs) to solve forward and inverse hydrodynamic shock-tube proble…☆219Feb 21, 2023Updated 3 years ago
- PINN (Physics-Informed Neural Networks) on Navier-Stokes Equations☆135Oct 24, 2025Updated 5 months ago
- ☆212Feb 16, 2024Updated 2 years ago
- Dynamic weight strategy of physics-informed neural networks for the 2D Navier-Stokes equations☆14Sep 1, 2022Updated 3 years ago
- PyDEns is a framework for solving Ordinary and Partial Differential Equations (ODEs & PDEs) using neural networks☆316Feb 9, 2024Updated 2 years ago
- Serverless GPU API endpoints on Runpod - Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- A pytorch implementaion of physics informed neural networks for two dimensional NS equation☆194Apr 7, 2024Updated 2 years ago
- A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, i…☆778Jul 27, 2025Updated 8 months ago
- Numerical assessments of a nonintrusive surrogate model based on recurrent neural networks and proper orthogonal decomposition: Rayleigh …☆10Dec 2, 2022Updated 3 years ago
- physics-informed neural network for elastodynamics problem☆161Jan 20, 2022Updated 4 years ago
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆50Jul 23, 2020Updated 5 years ago
- POD-PINN code and manuscript☆58Nov 10, 2024Updated last year
- PyTorch Implementation of Physics-informed Neural Networks☆709May 20, 2024Updated last year
- Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations☆5,758Feb 11, 2026Updated 2 months ago
- Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems☆109Apr 15, 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.
- Investigating PINNs☆752Aug 13, 2021Updated 4 years ago
- ☆12Jan 6, 2023Updated 3 years ago
- PINNs-Torch, Physics-informed Neural Networks (PINNs) implemented in PyTorch.☆864Feb 8, 2026Updated 2 months ago
- ☆253Oct 14, 2021Updated 4 years ago
- ☆408Dec 3, 2022Updated 3 years ago
- Physics-Informed Neural networks for Advanced modeling☆729Updated this week
- [NeurIPS 2024] Codebase for PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.☆413Feb 11, 2026Updated 2 months ago
- Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data☆151Oct 18, 2019Updated 6 years ago
- Physics-informed neural networks with hard constraints for inverse design☆155Nov 21, 2021Updated 4 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- ☆10Mar 31, 2021Updated 5 years ago
- A Physics-Informed Neural Network to solve 2D steady-state heat equations.☆171Aug 31, 2025Updated 7 months ago
- Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…☆259Feb 1, 2023Updated 3 years ago
- TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).☆267Nov 30, 2023Updated 2 years ago
- ☆111Oct 16, 2021Updated 4 years ago
- Implementation of PINNs for burger's and Navier-Stokes equation with PyTorch☆11May 23, 2024Updated last year
- A repository for solving heat equation in a rectangular fin with Physics Informed Neural Networks and Surrogate Models.☆12Dec 12, 2022Updated 3 years ago