OSS library that implements deep learning methods for partial differential equations and much more
☆470Jun 12, 2026Updated 4 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 PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods☆1,583May 2, 2024Updated 2 years ago
- A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, i…☆791Apr 22, 2026Updated 6 months ago
- A differentiable PDE solving framework for machine learning☆1,952Jul 16, 2026Updated 3 months ago
- ☆561Apr 1, 2025Updated last year
- PDEBench: An Extensive Benchmark for Scientific Machine Learning☆1,227Mar 30, 2026Updated 7 months ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- A library for scientific machine learning and physics-informed learning☆4,497Updated this week
- Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond☆1,914Oct 10, 2025Updated last year
- ☆314Sep 14, 2024Updated 2 years ago
- In-situ data analyses and machine learning with OpenFOAM and Python☆181Dec 10, 2023Updated 2 years ago
- Deep learning for Engineers - Physics Informed Deep Learning☆368Dec 20, 2023Updated 2 years ago
- DeepONets, (Fourier) Neural Operators, Physics-Informed Neural Operators, and more in Julia☆292Sep 28, 2024Updated 2 years ago
- Using graph network to solve PDEs☆457Jun 2, 2025Updated last year
- Learning in infinite dimension with neural operators.☆3,986Oct 17, 2026Updated 3 weeks ago
- ☆274Oct 14, 2021Updated 5 years 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.
- Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric …☆1,398Oct 22, 2026Updated 2 weeks ago
- Computational Fluid Dynamics in JAX☆969Oct 25, 2026Updated last week
- Physics-Informed Neural networks for Advanced modeling☆801Updated this week
- [NeurIPS 23] Official Code for "Learning Efficient Surrogate Dynamic Models with Graph Spline Networks"☆16Jul 19, 2024Updated 2 years ago
- This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs☆236Nov 24, 2025Updated 11 months ago
- Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations wi…☆69May 22, 2024Updated 2 years ago
- Using Physics-Informed Deep Learning (PIDL) techniques (W-PINNs-DE & W-PINNs) to solve forward and inverse hydrodynamic shock-tube proble…☆232Feb 21, 2023Updated 3 years ago
- Welcome to the Physics-based Deep Learning Book v0.3 - the GenAI Edition☆1,377Aug 12, 2025Updated last year
- Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations☆6,242Feb 11, 2026Updated 8 months ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML method…☆3,419Updated this week
- ☆433Dec 3, 2022Updated 3 years ago
- Repo to the paper "Message Passing Neural PDE Solvers"☆152Sep 11, 2024Updated 2 years ago
- A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical…☆1,552Sep 13, 2024Updated 2 years ago
- Multiwavelets-based operator model☆70Feb 16, 2022Updated 4 years ago
- ☆222Feb 16, 2024Updated 2 years ago
- A comprehensive and fair comparison of two neural operators (with practical extensions) based on FAIR data☆401Jul 14, 2023Updated 3 years ago
- ☆1,128Oct 29, 2026Updated last week
- Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/☆2,122Sep 6, 2026Updated 2 months ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Applications of PINOs☆151Oct 10, 2022Updated 4 years ago
- Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs…☆582May 29, 2026Updated 5 months ago
- Nimble: Physics Engine for Biomechanics and Deep Learning☆498Sep 14, 2025Updated last year
- PyDEns is a framework for solving Ordinary and Partial Differential Equations (ODEs & PDEs) using neural networks☆315Feb 9, 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
- This repository contains a number of Jupyter Notebooks illustrating different approaches to solve partial differential equations by means…☆191Feb 25, 2021Updated 5 years ago
- Stiff Neural Ordinary Differential Equations☆35Jun 7, 2023Updated 3 years ago