A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, including at Harvard IACS.
☆790Apr 22, 2026Updated 5 months ago
Alternatives and similar repositories for neurodiffeq
Users that are interested in neurodiffeq are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- PyDEns is a framework for solving Ordinary and Partial Differential Equations (ODEs & PDEs) using neural networks☆315Feb 9, 2024Updated 2 years ago
- A library for scientific machine learning and physics-informed learning☆4,463Aug 18, 2026Updated last month
- Physics-Informed Neural networks for Advanced modeling☆798Oct 6, 2026Updated last week
- A differentiable PDE solving framework for machine learning☆1,947Jul 16, 2026Updated 2 months ago
- Neural network based solvers for partial differential equations and inverse problems . Implementation of physics-informed neural networks…☆173Jan 12, 2025Updated last year
- 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.
- Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations☆6,199Feb 11, 2026Updated 8 months ago
- Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated s…☆1,235Updated this week
- Deep learning for Engineers - Physics Informed Deep Learning☆368Dec 20, 2023Updated 2 years ago
- A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical…☆1,549Sep 13, 2024Updated 2 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
- PDEBench: An Extensive Benchmark for Scientific Machine Learning☆1,214Mar 30, 2026Updated 6 months ago
- Deep learning library for solving differential equations on top of PyTorch.☆63Jul 30, 2020Updated 6 years ago
- Python package for solving partial differential equations using finite differences.☆467Updated this week
- PyTorch Implementation of Physics-informed Neural Networks☆724May 20, 2024Updated 2 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.
- Learning in infinite dimension with neural operators.☆3,952Aug 6, 2026Updated 2 months ago
- IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.☆251Oct 21, 2024Updated last year
- OSS library that implements deep learning methods for partial differential equations and much more☆471Jun 12, 2026Updated 4 months ago
- Physics Informed Neural Network (PINN) for the wave equation.☆213Jul 16, 2020Updated 6 years ago
- Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond☆1,911Oct 10, 2025Updated last year
- Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/☆2,111Sep 6, 2026Updated last month
- A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations☆135May 7, 2026Updated 5 months ago
- Using graph network to solve PDEs☆453Jun 2, 2025Updated last year
- ☆274Oct 14, 2021Updated 4 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Must-read Papers on Physics-Informed Neural Networks.☆1,552Dec 8, 2023Updated 2 years ago
- Solving PDEs with NNs☆54Jan 6, 2023Updated 3 years ago
- Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.☆6,489Apr 4, 2025Updated last year
- Physics Informed Machine Learning Tutorials (Pytorch and Jax)☆687Sep 12, 2026Updated last month
- A place to share problems solved with SciANN☆312Nov 6, 2023Updated 2 years ago
- ☆431Dec 3, 2022Updated 3 years ago
- ☆448Nov 14, 2025Updated 10 months ago
- Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]☆301Oct 12, 2021Updated 5 years ago
- DeepONets, (Fourier) Neural Operators, Physics-Informed Neural Operators, and more in Julia☆292Sep 28, 2024Updated 2 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.
- Code for the paper "Learning Differential Equations that are Easy to Solve"☆290Nov 25, 2021Updated 4 years ago
- ☆1,125Sep 13, 2026Updated last month
- ☆119Oct 16, 2021Updated 4 years ago
- Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…☆271Feb 1, 2023Updated 3 years ago
- ☆555Apr 1, 2025Updated last year
- A flexible framework for solving PDEs with modern spectral methods.☆712Updated this week
- Differentiable SDE solvers with GPU support and efficient sensitivity analysis.☆1,727Dec 30, 2024Updated last year