Physics Informed Machine Learning Tutorials (Pytorch and Jax)
☆687Sep 12, 2026Updated last month
Alternatives and similar repositories for NABLA-SciML
Users that are interested in NABLA-SciML are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆431Dec 3, 2022Updated 3 years ago
- Investigating PINNs☆786Aug 13, 2021Updated 5 years ago
- A library for scientific machine learning and physics-informed learning☆4,470Aug 18, 2026Updated 2 months ago
- Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations☆6,208Feb 11, 2026Updated 8 months ago
- PyTorch Implementation of Physics-informed Neural Networks☆724May 20, 2024Updated 2 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.
- Must-read Papers on Physics-Informed Neural Networks.☆1,553Dec 8, 2023Updated 2 years ago
- Using Physics-Informed Deep Learning (PIDL) techniques (W-PINNs-DE & W-PINNs) to solve forward and inverse hydrodynamic shock-tube proble…☆231Feb 21, 2023Updated 3 years ago
- Simple PyTorch Implementation of Physics Informed Neural Network (PINN)☆382Jul 5, 2024Updated 2 years ago
- Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]☆301Oct 12, 2021Updated 5 years ago
- Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs…☆577May 29, 2026Updated 4 months ago
- Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators☆853Jun 25, 2022Updated 4 years ago
- A comprehensive and fair comparison of two neural operators (with practical extensions) based on FAIR data☆399Jul 14, 2023Updated 3 years ago
- Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…☆271Feb 1, 2023Updated 3 years ago
- Physics informed neural network (PINN) for cavity flow governed by Navier-Stokes equation.☆165Jul 16, 2020Updated 6 years 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.
- Original implementation of fast PINN optimization with RBA weights☆79Sep 11, 2025Updated last year
- ☆57Oct 9, 2022Updated 4 years ago
- ☆129Jul 20, 2022Updated 4 years ago
- A Deep Learning Approach to Solving PDEs: Implementing Neural Networks with Pytorch and Jax☆10Apr 27, 2023Updated 3 years ago
- ☆222Feb 16, 2024Updated 2 years ago
- PINNs-Torch, Physics-informed Neural Networks (PINNs) implemented in PyTorch.☆962Feb 8, 2026Updated 8 months ago
- A pytorch implementaion of physics informed neural networks for two dimensional NS equation☆212Apr 7, 2024Updated 2 years ago
- 2nd Order Wave Equation PINN Solution/ TensorFlow & PyTorch☆37Aug 2, 2022Updated 4 years ago
- Physics-informed neural network for solving fluid dynamics problems☆294Jan 28, 2021Updated 5 years 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.
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.☆85Aug 4, 2023Updated 3 years ago
- ☆274Oct 14, 2021Updated 5 years ago
- Examples implementing physics-informed neural networks (PINN) in Pytorch☆86Aug 13, 2021Updated 5 years ago
- ☆556Apr 1, 2025Updated last year
- Physics-informed neural networks package☆348Jul 20, 2022Updated 4 years ago
- ☆1,126Sep 13, 2026Updated last month
- ☆448Nov 14, 2025Updated 11 months ago
- Physics Informed Neural Network (PINN) for the wave equation.☆213Jul 16, 2020Updated 6 years ago
- Physics-Informed Neural networks for Advanced modeling☆798Updated this week
- 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.
- A Physics-Informed Neural Network to solve 2D steady-state heat equations.☆185May 30, 2026Updated 4 months ago
- Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems☆115Apr 15, 2022Updated 4 years ago
- Physics-informed neural networks with hard constraints for inverse design☆165Nov 21, 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…☆790Apr 22, 2026Updated 5 months ago
- A pytorch implementation of several approaches using PINN to slove turbulent flow☆100Apr 4, 2024Updated 2 years ago
- Repository for sharing code and data assocaited with En-DeepONet architecture☆37Jan 15, 2024Updated 2 years ago
- [NeurIPS 2024] Codebase for PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.☆455Jul 24, 2026Updated 2 months ago