OSS library that implements deep learning methods for partial differential equations and much more
☆461Oct 2, 2025Updated 6 months ago
Alternatives and similar repositories for torchphysics
Users that are interested in torchphysics are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, i…☆779Jul 27, 2025Updated 8 months ago
- A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods☆1,558May 2, 2024Updated last year
- A differentiable PDE solving framework for machine learning☆1,848Updated this week
- ☆529Apr 1, 2025Updated last year
- PDEBench: An Extensive Benchmark for Scientific Machine Learning☆1,106Mar 30, 2026Updated 2 weeks ago
- 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.
- DeepONets, (Fourier) Neural Operators, Physics-Informed Neural Operators, and more in Julia☆292Sep 28, 2024Updated last year
- Using graph network to solve PDEs☆441Jun 2, 2025Updated 10 months ago
- Learning in infinite dimension with neural operators.☆3,539Feb 24, 2026Updated last month
- [NeurIPS 23] Official Code for "Learning Efficient Surrogate Dynamic Models with Graph Spline Networks"☆16Jul 19, 2024Updated last year
- A library for scientific machine learning and physics-informed learning☆4,049Mar 1, 2026Updated last month
- Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond☆1,875Oct 10, 2025Updated 6 months ago
- Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric …☆1,313Apr 3, 2026Updated last week
- Computational Fluid Dynamics in JAX☆938Feb 24, 2026Updated last month
- Physics-Informed Neural networks for Advanced modeling☆729Apr 9, 2026Updated last week
- 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.
- ☆297Sep 14, 2024Updated last year
- In-situ data analyses and machine learning with OpenFOAM and Python☆181Dec 10, 2023Updated 2 years ago
- Welcome to the Physics-based Deep Learning Book v0.3 - the GenAI Edition☆1,308Aug 12, 2025Updated 8 months ago
- ☆408Dec 3, 2022Updated 3 years ago
- [ICML 2022] Learning Efficient and Robust Ordinary Differential \\ Equations via Invertible Neural Networks☆10Apr 14, 2023Updated 3 years ago
- Deep learning for Engineers - Physics Informed Deep Learning☆365Dec 20, 2023Updated 2 years ago
- A comprehensive and fair comparison of two neural operators (with practical extensions) based on FAIR data☆370Jul 14, 2023Updated 2 years ago
- ☆253Oct 14, 2021Updated 4 years ago
- Applications of PINOs☆147Oct 10, 2022Updated 3 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.
- [NeurIPS 2023 Spotlight] Separable Physics-Informed Neural Networks☆90Oct 25, 2023Updated 2 years ago
- ☆201Apr 3, 2025Updated last year
- ☆1,090Apr 9, 2026Updated last week
- Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed c…☆119Mar 1, 2022Updated 4 years ago
- This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs☆216Nov 24, 2025Updated 4 months ago
- This repository contains a number of Jupyter Notebooks illustrating different approaches to solve partial differential equations by means…☆182Feb 25, 2021Updated 5 years ago
- Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations wi…☆70May 22, 2024Updated last year
- Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML method…☆2,667Updated this week
- Generative Adversarial Networks are used to super resolve turbulent flow fields from low resolution (RANS/LES) fields to high resolution …☆24Jan 28, 2021Updated 5 years 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.
- A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical…☆1,527Sep 13, 2024Updated last year
- ☆36May 3, 2023Updated 2 years ago
- Stiff Neural Ordinary Differential Equations☆36Jun 7, 2023Updated 2 years ago
- Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers☆177Oct 19, 2022Updated 3 years ago
- Repo to the paper "Message Passing Neural PDE Solvers"☆146Sep 11, 2024Updated last year
- Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations☆5,758Feb 11, 2026Updated 2 months ago
- PyDEns is a framework for solving Ordinary and Partial Differential Equations (ODEs & PDEs) using neural networks☆316Feb 9, 2024Updated 2 years ago