OSS library that implements deep learning methods for partial differential equations and much more
☆471Jun 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 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
- A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods☆1,580May 2, 2024Updated 2 years ago
- A differentiable PDE solving framework for machine learning☆1,948Jul 16, 2026Updated 3 months ago
- ☆556Apr 1, 2025Updated last year
- PDEBench: An Extensive Benchmark for Scientific Machine Learning☆1,214Mar 30, 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.
- DeepONets, (Fourier) Neural Operators, Physics-Informed Neural Operators, and more in Julia☆292Sep 28, 2024Updated 2 years ago
- Using graph network to solve PDEs☆454Jun 2, 2025Updated last year
- Learning in infinite dimension with neural operators.☆3,961Updated this week
- A library for scientific machine learning and physics-informed learning☆4,470Aug 18, 2026Updated 2 months ago
- [NeurIPS 23] Official Code for "Learning Efficient Surrogate Dynamic Models with Graph Spline Networks"☆16Jul 19, 2024Updated 2 years ago
- Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond☆1,911Oct 10, 2025Updated last year
- Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric …☆1,383Oct 7, 2026Updated last week
- Computational Fluid Dynamics in JAX☆966Updated this week
- ☆315Sep 14, 2024Updated 2 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Applications of PINOs☆150Oct 10, 2022Updated 4 years ago
- 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☆1,376Aug 12, 2025Updated last year
- Deep learning for Engineers - Physics Informed Deep Learning☆368Dec 20, 2023Updated 2 years ago
- ☆431Dec 3, 2022Updated 3 years ago
- A comprehensive and fair comparison of two neural operators (with practical extensions) based on FAIR data☆399Jul 14, 2023Updated 3 years ago
- ☆274Oct 14, 2021Updated 5 years ago
- [ICML 2022] Learning Efficient and Robust Ordinary Differential \\ Equations via Invertible Neural Networks☆11Apr 14, 2023Updated 3 years ago
- Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML method…☆3,360Updated this week
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- 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
- EPFL Verifier for Approximate Neural Networks and QPs☆10Dec 7, 2023Updated 2 years ago
- This repository contains a number of Jupyter Notebooks illustrating different approaches to solve partial differential equations by means…☆189Feb 25, 2021Updated 5 years ago
- ☆1,126Sep 13, 2026Updated last month
- Repo to the paper "Message Passing Neural PDE Solvers"☆151Sep 11, 2024Updated 2 years ago
- Physics-Informed Neural networks for Advanced modeling☆798Updated this week
- [NeurIPS 2023 Spotlight] Separable Physics-Informed Neural Networks☆95Oct 25, 2023Updated 2 years ago
- This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs☆234Nov 24, 2025Updated 10 months ago
- ☆202Apr 3, 2025Updated last year
- 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.
- A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical…☆1,549Sep 13, 2024Updated 2 years ago
- Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers☆181Oct 19, 2022Updated 3 years 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
- Stiff Neural Ordinary Differential Equations☆35Jun 7, 2023Updated 3 years ago
- ☆36May 3, 2023Updated 3 years ago
- Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations☆6,208Feb 11, 2026Updated 8 months ago
- A package for the sparse identification of nonlinear dynamical systems from data☆1,916Updated this week