The public repository about our joint FINN research project
☆38Oct 28, 2022Updated 3 years ago
Alternatives and similar repositories for finn
Users that are interested in finn are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Simplified implementation of locally adaptive activation functions (LAAF) with slope recovery for deep and physics-informed neural networ…☆31Mar 8, 2021Updated 5 years ago
- Use SINDY algorithm to discover a dynamical system from coronavirus data☆12Apr 9, 2024Updated 2 years ago
- ☆67Jul 10, 2023Updated 3 years ago
- 🏛- Library used to access and handle the Dataverse installation DaRUS of the University of Stuttgart.☆10Jul 18, 2022Updated 4 years ago
- Example code to speed up GP inference with gradients for high-dimensional inputs.☆14Jul 12, 2021Updated 5 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Numerical assessments of a nonintrusive surrogate model based on recurrent neural networks and proper orthogonal decomposition: Rayleigh …☆10Dec 2, 2022Updated 3 years ago
- A tool for generating PDEs ground truth datasets from ARCSim, FEniCS and SU2☆38Jul 5, 2021Updated 5 years ago
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆50Jul 23, 2020Updated 5 years ago
- Multi-head attention network for airfoil flow field prediction☆17Sep 13, 2022Updated 3 years ago
- POD-PINN code and manuscript☆61Nov 10, 2024Updated last year
- About Code Release for "Solving High-Dimensional PDEs with Latent Spectral Models" (ICML 2023), https://arxiv.org/abs/2301.12664☆85Apr 10, 2025Updated last year
- Source code for deep learning-based reduced order models in cardiac electrophysiology. Available on doi.org/10.1371/journal.pone.0239416.☆17Sep 7, 2023Updated 2 years ago
- 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 6 years ago
- Physics informed neural network for learning seepage flow models☆21May 3, 2023Updated 3 years ago
- 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.
- Publication of Python code used to train ModalPINN☆11May 5, 2022Updated 4 years ago
- ☆10Dec 17, 2019Updated 6 years ago
- ☆16Nov 17, 2021Updated 4 years ago
- DiffNet: A FEM based neural PDE solver package☆12Apr 9, 2024Updated 2 years ago
- [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.☆42Jun 21, 2024Updated 2 years ago
- TensorFlow 2.0 implementation of Yibo Yang, Paris Perdikaris’s adversarial Uncertainty Quantification in Physics Informed Neural Networks…☆22Mar 25, 2023Updated 3 years ago
- Turbulent flow network source code☆72Mar 14, 2025Updated last year
- ☆41Jul 20, 2023Updated 3 years ago
- Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)☆35Dec 4, 2023Updated 2 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.
- Application of Graph Neural Networks to predict material properties from their microstructures.☆21Nov 18, 2024Updated last year
- This repository contains the source code for the research presented in the paper "Exploring hidden flow structures from sparse data throu…☆12Dec 4, 2023Updated 2 years ago
- This repository consists of two-step training DeepONet code.☆13May 22, 2024Updated 2 years ago
- Encoding physics to learn reaction-diffusion processes☆111Aug 28, 2023Updated 2 years ago
- Fast, minimally-invasive neural network inference library☆22Feb 10, 2025Updated last year
- A 30-minute showcase on the how and the why of neural differential equations.☆14Apr 3, 2024Updated 2 years ago
- Training neural networks to disentangle conservative and dissipative dynamics☆14Jan 27, 2022Updated 4 years ago
- Code to accompany the paper "Discovery of Physics from Data: Universal Laws and Discrepancies"☆27Jun 25, 2020Updated 6 years ago
- Reduced-Order Modeling of Fluid Flows with Transformers☆26May 30, 2023Updated 3 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.
- ☆19Oct 23, 2025Updated 8 months ago
- This is the code of the Deep neural Operator for Free Boundary Problems☆15Mar 22, 2026Updated 3 months ago
- Code for the paper "Deep learning of thermodynamics-aware reduced-order models from data" published in Computer Methods in Applied Mechan…☆14Aug 18, 2023Updated 2 years ago
- PDEBench: An Extensive Benchmark for Scientific Machine Learning☆1,173Mar 30, 2026Updated 3 months ago
- ☆30Aug 11, 2022Updated 3 years ago
- ☆16Mar 3, 2023Updated 3 years ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆169May 15, 2024Updated 2 years ago