☆54Nov 6, 2023Updated 2 years ago
Alternatives and similar repositories for DeePyMoD
Users that are interested in DeePyMoD are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Pytorch implementation of the DeepMoD algorithm: [arXiv:1904.09406]☆35Oct 30, 2023Updated 2 years ago
- SymDer: Symbolic Derivative Approach to Discovering Sparse Interpretable Dynamics from Partial Observations☆27Aug 12, 2022Updated 4 years ago
- Matlab code for Y. Yuan, et. al. Machine Discovery of Partial Differential Equations from Spatiotemporal Data☆15Sep 29, 2018Updated 8 years ago
- Data-driven Identification of 2D Partial Differential Equations using Extracted Physical Features☆12Apr 23, 2021Updated 5 years ago
- ☆16Oct 25, 2023Updated 3 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- ☆21Dec 8, 2022Updated 3 years ago
- ☆281Nov 4, 2022Updated 3 years ago
- Quasi-geostrophic spectral solver in PyTorch☆18Sep 18, 2022Updated 4 years ago
- ☆16Dec 18, 2023Updated 2 years ago
- ☆49Dec 7, 2022Updated 3 years ago
- Public Datasets and Codes for Data-driven discovery of soil moisture flow governing equation: A sparse regression framework. Water Resour…☆11Feb 24, 2025Updated last year
- This repository contains codes and data-sets for the PDE inference from limited spatio-temporal data☆13Mar 25, 2022Updated 4 years ago
- The realisations and examples of algorithms from FEDOT framework☆12May 27, 2021Updated 5 years ago
- ☆21Sep 28, 2020Updated 6 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.
- Multi-task physics-informed neural networks☆25Oct 29, 2022Updated 4 years ago
- ☆54Jun 16, 2022Updated 4 years ago
- Differential equation neural operator☆22Sep 4, 2023Updated 3 years ago
- Physics-informed learning of governing equations from scarce data☆170Jul 19, 2023Updated 3 years ago
- Benchmark for learning stiff problems using physics-informed machine learning☆13Dec 15, 2021Updated 4 years ago
- ☆26Jun 16, 2018Updated 8 years ago
- Frame-independent vector-cloud neural network for nonlocal constitutive modelling on arbitrary grids.☆11Oct 31, 2021Updated 4 years ago
- Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…☆58May 20, 2022Updated 4 years ago
- Learning with Higher Expressive Power than Neural Networks (On Learning PDEs)☆16Feb 17, 2021Updated 5 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- ☆11May 14, 2026Updated 5 months ago
- Based on bezier curve fitting to fill the structure information + criminisi image inpainting algorithm.☆14Jul 23, 2018Updated 8 years ago
- Hidden physics models: Machine learning of nonlinear partial differential equations☆154Feb 20, 2020Updated 6 years ago
- ☆11Aug 13, 2024Updated 2 years ago
- ☆13Mar 11, 2025Updated last year
- ☆29Dec 21, 2023Updated 2 years ago
- 🏔️ PINNACLE: PINN Adaptive ColLocation and Experimental points selection☆30Jul 26, 2024Updated 2 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
- ☆19Dec 2, 2020Updated 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.
- ☆35Jan 29, 2021Updated 5 years ago
- ☆14Jan 22, 2022Updated 4 years ago
- Interpretable machine learning (symbolic regression) using Genetic programming/Gene expression programming and Sparse regression used …☆36Feb 10, 2021Updated 5 years ago
- ☆14Jan 29, 2021Updated 5 years ago
- Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations☆294Jul 30, 2022Updated 4 years ago
- 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
- PDE-Net: Learning PDEs from Data☆332Jun 26, 2021Updated 5 years ago