A library for scientific machine learning and physics-informed learning
☆4,266Jun 24, 2026Updated last week
Alternatives and similar repositories for deepxde
Users that are interested in deepxde are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations☆5,978Feb 11, 2026Updated 4 months ago
- Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators☆826Jun 25, 2022Updated 4 years ago
- Must-read Papers on Physics-Informed Neural Networks.☆1,513Dec 8, 2023Updated 2 years ago
- Learning in infinite dimension with neural operators.☆3,717Jun 23, 2026Updated last week
- ☆423Dec 3, 2022Updated 3 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- ☆544Apr 1, 2025Updated last year
- Physics Informed Machine Learning Tutorials (Pytorch and Jax)☆674May 31, 2026Updated last month
- A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, i…☆788Apr 22, 2026Updated 2 months ago
- Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated s…☆1,203Jun 26, 2026Updated last week
- ☆1,109Jun 29, 2026Updated last week
- A comprehensive and fair comparison of two neural operators (with practical extensions) based on FAIR data☆385Jul 14, 2023Updated 2 years ago
- PDEBench: An Extensive Benchmark for Scientific Machine Learning☆1,166Mar 30, 2026Updated 3 months ago
- Investigating PINNs☆774Aug 13, 2021Updated 4 years ago
- Tutorials on deep learning, Python, and dissipative particle dynamics☆223Mar 21, 2026Updated 3 months ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- A place to share problems solved with SciANN☆309Nov 6, 2023Updated 2 years ago
- Deep learning for Engineers - Physics Informed Deep Learning☆367Dec 20, 2023Updated 2 years ago
- Physics-informed neural networks with hard constraints for inverse design☆160Nov 21, 2021Updated 4 years ago
- PyTorch Implementation of Physics-informed Neural Networks☆721May 20, 2024Updated 2 years ago
- DeepXDE and PINN☆156May 20, 2022Updated 4 years ago
- [NeurIPS 2024] Codebase for PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.☆435Feb 11, 2026Updated 4 months ago
- ☆266Oct 14, 2021Updated 4 years ago
- A differentiable PDE solving framework for machine learning☆1,897Jun 22, 2026Updated last week
- Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML method…☆2,987Jun 26, 2026Updated last week
- 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.
- Physics-Informed Neural networks for Advanced modeling☆768Jun 24, 2026Updated last week
- PyDEns is a framework for solving Ordinary and Partial Differential Equations (ODEs & PDEs) using neural networks☆315Feb 9, 2024Updated 2 years ago
- TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).☆267Nov 30, 2023Updated 2 years ago
- Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]☆298Oct 12, 2021Updated 4 years ago
- Physics-informed neural network for solving fluid dynamics problems☆281Jan 28, 2021Updated 5 years ago
- DeepONets, (Fourier) Neural Operators, Physics-Informed Neural Operators, and more in Julia☆293Sep 28, 2024Updated last year
- Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…☆267Feb 1, 2023Updated 3 years ago
- PINNs-Torch, Physics-informed Neural Networks (PINNs) implemented in PyTorch.☆918Feb 8, 2026Updated 4 months ago
- IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.☆248Oct 21, 2024Updated last year
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs…☆557May 29, 2026Updated last month
- A comprehensive study of non-adaptive and residual-based adaptive sampling for physics-informed neural networks☆106Oct 24, 2022Updated 3 years ago
- 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
- ☆175Jun 27, 2022Updated 4 years ago
- Hidden Fluid Mechanics☆370Jan 30, 2023Updated 3 years ago
- ☆435Nov 14, 2025Updated 7 months ago
- Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems☆112Apr 15, 2022Updated 4 years ago