Pytorch implementation of the DeepMoD algorithm: [arXiv:1904.09406]
☆34Oct 30, 2023Updated 2 years ago
Alternatives and similar repositories for DeePyMoD_torch
Users that are interested in DeePyMoD_torch are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- This implementation of DeePyMoD is no longer maintained! We switched to a PyTorch based implementation: https://github.com/PhIMaL/DeePyM…☆24Jan 30, 2020Updated 6 years ago
- ☆50Nov 6, 2023Updated 2 years ago
- ☆26Jun 16, 2018Updated 7 years ago
- Code repository for the paper "Learning partial differential equations for biological transport models from noisy spatiotemporal data"☆10Jul 3, 2019Updated 6 years ago
- The realisations and examples of algorithms from FEDOT framework☆12May 27, 2021Updated 5 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.
- ☆16Oct 25, 2023Updated 2 years ago
- ☆21Sep 28, 2020Updated 5 years ago
- Physics-informed learning of governing equations from scarce data☆171Jul 19, 2023Updated 2 years ago
- ☆15Jul 6, 2023Updated 2 years ago
- Benchmark for learning stiff problems using physics-informed machine learning☆13Dec 15, 2021Updated 4 years ago
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆50Jul 23, 2020Updated 5 years ago
- Interpretable machine learning (symbolic regression) using Genetic programming/Gene expression programming and Sparse regression used …☆35Feb 10, 2021Updated 5 years ago
- code accompanying the 2018 Soft Matter paper "Mechanics of biomimetic 4D printed structures"☆13Jul 2, 2025Updated 11 months ago
- Pix2PixCC codes: an improved model for image-to-image translation and scientific data analysis☆13Jul 14, 2025Updated 10 months 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.
- Sparse Identification of Nonlinear Dynamics for Hybrid Systems☆29Aug 8, 2018Updated 7 years ago
- PDE-Net: Learning PDEs from Data☆331Jun 26, 2021Updated 4 years ago
- This code implements the Tensor Basis Neural Network (TBNN) as described in Ling et al. (Journal of Fluid Mechanics, 2016).☆45Feb 10, 2018Updated 8 years ago
- Repository with code supporting PNAS article☆11Jun 6, 2023Updated 3 years ago
- ☆281Nov 4, 2022Updated 3 years ago
- Code for "Machine-Learning Non-Conservative Dynamics for New-Physics Detection" (arXiv: 2106.00026)☆14Aug 1, 2021Updated 4 years ago
- Towards Physics-informed Deep Learning for Turbulent Flow Prediction☆28Oct 18, 2021Updated 4 years ago
- Deep learning framework for model reduction of dynamical systems☆21Dec 31, 2020Updated 5 years ago
- ☆14Mar 8, 2022Updated 4 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.
- ☆14Jan 22, 2022Updated 4 years ago
- Deep residual networks for dimensionality reduction and surrogate modeling in high-dimensional inverse problems☆10Mar 20, 2021Updated 5 years ago
- combination of sparse identification of nonlinear dynamics with Akaike information criteria☆17Aug 19, 2017Updated 8 years ago
- Methods and code for J. L. Callaham, J. N. Kutz, B. W. Brunton, and S. L. Brunton (2020)☆62Jan 8, 2021Updated 5 years ago
- Simplified implementation of locally adaptive activation functions (LAAF) with slope recovery for deep and physics-informed neural networ…☆31Mar 8, 2021Updated 5 years ago
- ☆12Apr 18, 2023Updated 3 years ago
- ☆10Dec 17, 2019Updated 6 years ago
- Spatio-temporal forecasting of Lorenz96 with RC-ESN, RNN-LSTM and ANN☆44Oct 12, 2020Updated 5 years ago
- Spanwise-averaged Navier–Stokes modelling through convolutional neural network☆14May 17, 2024Updated 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.
- Generalized DBSCAN☆12Apr 28, 2016Updated 10 years ago
- Uncertainty Quantification of RANS Data-Driven Turbulence Modeling☆62Jan 11, 2021Updated 5 years ago
- Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data☆153Oct 18, 2019Updated 6 years ago
- ☆12Jan 29, 2025Updated last year
- ☆13Nov 20, 2019Updated 6 years ago
- Deep Galerkin Method☆17Feb 10, 2019Updated 7 years ago
- ☆13Mar 11, 2025Updated last year