A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, including at Harvard IACS.
☆782Apr 22, 2026Updated last month
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☆4,177Mar 1, 2026Updated 2 months ago
- Physics-Informed Neural networks for Advanced modeling☆752Updated this week
- A differentiable PDE solving framework for machine learning☆1,872May 10, 2026Updated 2 weeks ago
- Neural network based solvers for partial differential equations and inverse problems . Implementation of physics-informed neural networks…☆170Jan 12, 2025Updated last year
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods☆1,570May 2, 2024Updated 2 years ago
- Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations☆5,872Feb 11, 2026Updated 3 months ago
- Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated s…☆1,198May 12, 2026Updated 2 weeks ago
- Deep learning for Engineers - Physics Informed Deep Learning☆366Dec 20, 2023Updated 2 years ago
- A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical…☆1,530Sep 13, 2024Updated last year
- PDEBench: An Extensive Benchmark for Scientific Machine Learning☆1,139Mar 30, 2026Updated last month
- 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
- Deep learning library for solving differential equations on top of PyTorch.☆63Jul 30, 2020Updated 5 years ago
- Python package for solving partial differential equations using finite differences.☆457May 19, 2026Updated last week
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- PyTorch Implementation of Physics-informed Neural Networks☆715May 20, 2024Updated 2 years ago
- Learning in infinite dimension with neural operators.☆3,648May 11, 2026Updated 2 weeks ago
- IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.☆249Oct 21, 2024Updated last year
- OSS library that implements deep learning methods for partial differential equations and much more☆466Oct 2, 2025Updated 7 months ago
- Physics Informed Neural Network (PINN) for the wave equation.☆214Jul 16, 2020Updated 5 years ago
- Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond☆1,889Oct 10, 2025Updated 7 months ago
- ☆427Nov 14, 2025Updated 6 months ago
- Using graph network to solve PDEs☆447Jun 2, 2025Updated 11 months ago
- ☆261Oct 14, 2021Updated 4 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.
- Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/☆2,012May 13, 2026Updated 2 weeks ago
- Must-read Papers on Physics-Informed Neural Networks.☆1,495Dec 8, 2023Updated 2 years ago
- A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations☆134May 7, 2026Updated 3 weeks ago
- Solving PDEs with NNs☆55Jan 6, 2023Updated 3 years ago
- Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.☆6,432Apr 4, 2025Updated last year
- Physics Informed Machine Learning Tutorials (Pytorch and Jax)☆670Apr 27, 2026Updated last month
- A place to share problems solved with SciANN☆308Nov 6, 2023Updated 2 years ago
- ☆417Dec 3, 2022Updated 3 years ago
- Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]☆294Oct 12, 2021Updated 4 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.
- 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…☆264Feb 1, 2023Updated 3 years ago
- ☆1,100Apr 9, 2026Updated last month
- Code for the paper "Learning Differential Equations that are Easy to Solve"☆288Nov 25, 2021Updated 4 years ago
- ☆113Oct 16, 2021Updated 4 years ago
- ☆536Apr 1, 2025Updated last year
- A flexible framework for solving PDEs with modern spectral methods.☆683May 15, 2026Updated last week