A library for scientific machine learning and physics-informed learning
☆4,435Aug 18, 2026Updated last month
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☆6,165Feb 11, 2026Updated 7 months ago
- Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators☆845Jun 25, 2022Updated 4 years ago
- Must-read Papers on Physics-Informed Neural Networks.☆1,546Dec 8, 2023Updated 2 years ago
- Learning in infinite dimension with neural operators.☆3,905Aug 6, 2026Updated last month
- ☆430Dec 3, 2022Updated 3 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- ☆552Apr 1, 2025Updated last year
- Physics Informed Machine Learning Tutorials (Pytorch and Jax)☆686Sep 12, 2026Updated last week
- A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, i…☆790Apr 22, 2026Updated 5 months ago
- Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated s…☆1,228Updated this week
- ☆1,125Sep 13, 2026Updated last week
- A comprehensive and fair comparison of two neural operators (with practical extensions) based on FAIR data☆396Jul 14, 2023Updated 3 years ago
- PDEBench: An Extensive Benchmark for Scientific Machine Learning☆1,202Mar 30, 2026Updated 5 months ago
- Investigating PINNs☆782Aug 13, 2021Updated 5 years ago
- Tutorials on deep learning, Python, and dissipative particle dynamics☆227Mar 21, 2026Updated 6 months ago
- 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.
- A place to share problems solved with SciANN☆312Nov 6, 2023Updated 2 years ago
- Deep learning for Engineers - Physics Informed Deep Learning☆368Dec 20, 2023Updated 2 years ago
- [NeurIPS 2024] Codebase for PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.☆451Jul 24, 2026Updated last month
- Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML method…☆3,280Updated this week
- Physics-informed neural networks with hard constraints for inverse design☆163Nov 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
- ☆273Oct 14, 2021Updated 4 years ago
- A differentiable PDE solving framework for machine learning☆1,936Jul 16, 2026Updated 2 months ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- PyDEns is a framework for solving Ordinary and Partial Differential Equations (ODEs & PDEs) using neural networks☆314Feb 9, 2024Updated 2 years ago
- TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).☆267Nov 30, 2023Updated 2 years ago
- Physics-Informed Neural networks for Advanced modeling☆794Sep 1, 2026Updated 3 weeks ago
- Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]☆299Oct 12, 2021Updated 4 years ago
- Physics-informed neural network for solving fluid dynamics problems☆292Jan 28, 2021Updated 5 years ago
- DeepONets, (Fourier) Neural Operators, Physics-Informed Neural Operators, and more in Julia☆292Sep 28, 2024Updated last year
- PINNs-Torch, Physics-informed Neural Networks (PINNs) implemented in PyTorch.☆951Feb 8, 2026Updated 7 months ago
- Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…☆272Feb 1, 2023Updated 3 years ago
- Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs…☆577May 29, 2026Updated 3 months ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.☆250Oct 21, 2024Updated last year
- 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
- A comprehensive study of non-adaptive and residual-based adaptive sampling for physics-informed neural networks☆107Oct 24, 2022Updated 3 years ago
- ☆176Jun 27, 2022Updated 4 years ago
- Hidden Fluid Mechanics☆371Jan 30, 2023Updated 3 years ago
- Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems☆116Apr 15, 2022Updated 4 years ago
- Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations☆293Jul 30, 2022Updated 4 years ago