PINNs-TF2, Physics-informed Neural Networks (PINNs) implemented in TensorFlow V2.
☆169May 23, 2024Updated 2 years ago
Alternatives and similar repositories for pinns-tf2
Users that are interested in pinns-tf2 are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- PINNs-Torch, Physics-informed Neural Networks (PINNs) implemented in PyTorch.☆962Feb 8, 2026Updated 8 months ago
- Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations☆6,209Feb 11, 2026Updated 8 months ago
- Generative Pre-Trained Physics-Informed Neural Networks Implementation☆122Aug 26, 2025Updated last year
- Investigating PINNs☆786Aug 13, 2021Updated 5 years ago
- Implementation of PINNs in TensorFlow 2☆80Dec 12, 2025Updated 10 months 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.
- Implementation of 'Physics-Informed Neural Networks for Shell Structures' (European Journal of Mechanics A)☆50Aug 17, 2024Updated 2 years ago
- PINN Implementation for IJCAI paper, "Physics-Informed Neural Networks: Minimizing Residual Loss with Wide Networks and Effective Activat…☆23Jun 19, 2024Updated 2 years ago
- Enhancing the convergence speed by 2x and improving the training success of Physics-Informed Neural Networks (PINNs).☆14Oct 14, 2024Updated 2 years ago
- PINNs-JAX, Physics-informed Neural Networks (PINNs) implemented in JAX.☆75Sep 10, 2024Updated 2 years ago
- Physics-Informed Neural Network, Finite Element Method enhanced neural network, and FEM data-based neural network☆20May 8, 2026Updated 5 months ago
- Dynamic weight strategy of physics-informed neural networks for the 2D Navier-Stokes equations☆14Sep 1, 2022Updated 4 years ago
- PyTorch Implementation of Physics-informed Neural Networks☆724May 20, 2024Updated 2 years ago
- Data-guided physics-informed neural networks☆18Jul 16, 2024Updated 2 years ago
- TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).☆267Nov 30, 2023Updated 2 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Research experiments☆10Mar 3, 2025Updated last year
- Physics Informed Neural Networks (PINNs) is a machine learning technique that incorporates physical laws and constraints into the neural …☆12Sep 27, 2024Updated 2 years ago
- Tensoflow 2 implementation of physics informed deep learning.☆27Sep 12, 2020Updated 6 years ago
- PINN paper that will be submitted to Journal of Computational Science☆13Sep 11, 2026Updated last month
- This repository provides a PyTorch implementation of the physics informed neural networks by M.Raissi et al.☆11Aug 9, 2021Updated 5 years ago
- Physics-informed radial basis network☆43May 20, 2024Updated 2 years ago
- PINN program for computational mechanics☆154Apr 1, 2024Updated 2 years ago
- Physics-Informed Neural Network☆94May 10, 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
- 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.
- Basic implementation of physics-informed neural networks for solving differential equations☆100Dec 26, 2024Updated last year
- Nathan Brown- PhD Research on Engineering Design Using Reinforcement Learning with an emphasis on Material Structure and Metamaterial Des…☆11Sep 26, 2022Updated 4 years ago
- This repo contains the code for solving Poisson Equation using Physics Informed Neural Networks☆21Jun 11, 2022Updated 4 years ago
- A library for scientific machine learning and physics-informed learning☆4,471Aug 18, 2026Updated 2 months ago
- We present cod-bench containing 12 operators and 10 datasets.☆11Jun 5, 2024Updated 2 years ago
- A Physics-Informed Neural Network to solve 2D steady-state heat equations.☆185May 30, 2026Updated 4 months ago
- An example of how to run pybamm in simulink☆16Aug 10, 2022Updated 4 years ago
- Deep Learning of Vortex Induced Vibrations☆103Feb 21, 2020Updated 6 years ago
- Couple pybamm and openpnm to solve a thermal battery problem☆17Apr 25, 2024Updated 2 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.
- a FEniCs-based (Model-Free) Data-driven Computational Mechanics implementation☆13Jul 22, 2026Updated 2 months ago
- IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.☆251Oct 21, 2024Updated last year
- This repository presents a series of analysis on the performance of Physics-Informed Neural Networks in vibrational systems. The limitati…☆14Apr 15, 2023Updated 3 years ago
- ☆20Dec 22, 2025Updated 9 months ago
- Sparse Physics-based and Interpretable Neural Networks☆54Sep 30, 2021Updated 5 years ago
- Julia bindings for PyBaMM☆13Feb 16, 2023Updated 3 years ago
- This repository offers a collection of simulation datasets from mechanical simulations of metamaterials. Jupyter notbooks demonstrate how…☆18Nov 1, 2022Updated 3 years ago