Physics Informed Machine Learning Tutorials (Pytorch and Jax)
☆680May 31, 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:
- ☆426Dec 3, 2022Updated 3 years ago
- Investigating PINNs☆777Aug 13, 2021Updated 4 years ago
- A library for scientific machine learning and physics-informed learning☆4,325Updated this week
- Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations☆6,057Feb 11, 2026Updated 5 months ago
- PyTorch Implementation of Physics-informed Neural Networks☆721May 20, 2024Updated 2 years 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.
- Must-read Papers on Physics-Informed Neural Networks.☆1,525Dec 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…☆230Feb 21, 2023Updated 3 years ago
- Simple PyTorch Implementation of Physics Informed Neural Network (PINN)☆379Jul 5, 2024Updated 2 years ago
- Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]☆298Oct 12, 2021Updated 4 years ago
- Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs…☆568May 29, 2026Updated 2 months ago
- Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators☆835Jun 25, 2022Updated 4 years ago
- A comprehensive and fair comparison of two neural operators (with practical extensions) based on FAIR data☆392Jul 14, 2023Updated 3 years ago
- Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…☆268Feb 1, 2023Updated 3 years ago
- Physics informed neural network (PINN) for cavity flow governed by Navier-Stokes equation.☆163Jul 16, 2020Updated 6 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.
- ☆56Oct 9, 2022Updated 3 years ago
- ☆130Jul 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
- Original implementation of fast PINN optimization with RBA weights☆77Sep 11, 2025Updated 10 months ago
- PINNs-Torch, Physics-informed Neural Networks (PINNs) implemented in PyTorch.☆936Feb 8, 2026Updated 5 months ago
- ☆221Feb 16, 2024Updated 2 years ago
- 2nd Order Wave Equation PINN Solution/ TensorFlow & PyTorch☆37Aug 2, 2022Updated 3 years ago
- A pytorch implementaion of physics informed neural networks for two dimensional NS equation☆205Apr 7, 2024Updated 2 years ago
- ☆269Oct 14, 2021Updated 4 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.
- Physics-informed neural network for solving fluid dynamics problems☆284Jan 28, 2021Updated 5 years ago
- Examples implementing physics-informed neural networks (PINN) in Pytorch☆88Aug 13, 2021Updated 4 years ago
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.☆85Aug 4, 2023Updated 2 years ago
- ☆549Apr 1, 2025Updated last year
- Physics-informed neural networks package☆346Jul 20, 2022Updated 4 years ago
- ☆439Nov 14, 2025Updated 8 months ago
- Physics Informed Neural Network (PINN) for the wave equation.☆214Jul 16, 2020Updated 6 years ago
- ☆1,116Jun 29, 2026Updated last month
- Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems☆112Apr 15, 2022Updated 4 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.
- Physics-Informed Neural networks for Advanced modeling☆783Updated this week
- A Physics-Informed Neural Network to solve 2D steady-state heat equations.☆185May 30, 2026Updated last month
- Physics-informed neural networks with hard constraints for inverse design☆162Nov 21, 2021Updated 4 years ago
- Repository for sharing code and data assocaited with En-DeepONet architecture☆37Jan 15, 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…☆790Apr 22, 2026Updated 3 months ago
- A pytorch implementation of several approaches using PINN to slove turbulent flow☆98Apr 4, 2024Updated 2 years ago
- PINN program for computational mechanics☆149Apr 1, 2024Updated 2 years ago