Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed computing
☆119Mar 1, 2022Updated 4 years ago
Alternatives and similar repositories for TensorDiffEq
Users that are interested in TensorDiffEq are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]☆293Oct 12, 2021Updated 4 years ago
- IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.☆247Oct 21, 2024Updated last year
- Deep learning for Engineers - Physics Informed Deep Learning☆366Dec 20, 2023Updated 2 years ago
- PyDEns is a framework for solving Ordinary and Partial Differential Equations (ODEs & PDEs) using neural networks☆316Feb 9, 2024Updated 2 years ago
- Publication of Python code used to train ModalPINN☆11May 5, 2022Updated 3 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.
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆91Jan 24, 2021Updated 5 years ago
- ☆10Dec 17, 2019Updated 6 years ago
- A library for scientific machine learning and physics-informed learning☆4,106Mar 1, 2026Updated 2 months ago
- ☆215Feb 16, 2024Updated 2 years ago
- The Gerris based Solid-Fluid system solver☆13Apr 20, 2021Updated 5 years ago
- ☆113Oct 16, 2021Updated 4 years ago
- A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, i…☆781Apr 22, 2026Updated last week
- Package for CGD and ACGD optimizers☆20Aug 11, 2022Updated 3 years ago
- ☆16Nov 20, 2023Updated 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.
- Deep Learning based method to try and learn the problem of inverse Navier Stokes and model the flow for an oscillating airfoil.☆24Jun 7, 2020Updated 5 years ago
- Convolutional Solvers for Partial Differential Equations☆28Jun 29, 2020Updated 5 years ago
- Example problems in Physics informed neural network in JAX☆83Aug 23, 2023Updated 2 years ago
- POD-PINN code and manuscript☆58Nov 10, 2024Updated last year
- TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).☆267Nov 30, 2023Updated 2 years ago
- Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated s…☆1,192Apr 23, 2026Updated last week
- Deep Learning - Predicting using Neural Ordinary Differential Equations - torchdiffeq.☆15Nov 18, 2020Updated 5 years ago
- Multifidelity deep neural operators for efficient learning of partial differential equations with application to fast inverse design of n…☆40Jul 12, 2023Updated 2 years ago
- ☆172Jun 27, 2022Updated 3 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.
- A place to share problems solved with SciANN☆309Nov 6, 2023Updated 2 years ago
- ☆412Dec 3, 2022Updated 3 years ago
- The source code the for the ICLR'24 paper "Stabilizing Backpropagation Through Time to Learn Complex Physics"☆11May 17, 2024Updated last year
- Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems☆61Jan 25, 2022Updated 4 years ago
- ☆15Oct 25, 2021Updated 4 years ago
- Applications of PINOs☆149Oct 10, 2022Updated 3 years ago
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.☆81Aug 4, 2023Updated 2 years ago
- ☆16Oct 29, 2023Updated 2 years ago
- ☆33Aug 31, 2022Updated 3 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.
- Easy determine UNIFAC Groups☆13Oct 13, 2025Updated 6 months ago
- ☆55Oct 9, 2022Updated 3 years ago
- ☆118Jul 28, 2019Updated 6 years ago
- Demo code for PPINN paper: https://www.sciencedirect.com/science/article/pii/S0045782520304357☆11Oct 23, 2020Updated 5 years ago
- Heat Equation FEM and PINN solver☆10Apr 24, 2022Updated 4 years ago
- [NeurIPS 2024] Codebase for PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.☆418Feb 11, 2026Updated 2 months ago
- Deep renormalized Mori-Zwanzig (DrMZ) Julia package.☆17Jun 1, 2023Updated 2 years ago