☆50Nov 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]☆34Oct 30, 2023Updated 2 years ago
- Matlab code for Y. Yuan, et. al. Machine Discovery of Partial Differential Equations from Spatiotemporal Data☆15Sep 29, 2018Updated 7 years ago
- SymDer: Symbolic Derivative Approach to Discovering Sparse Interpretable Dynamics from Partial Observations☆25Aug 12, 2022Updated 3 years ago
- Data-driven Identification of 2D Partial Differential Equations using Extracted Physical Features☆12Apr 23, 2021Updated 5 years ago
- ☆21Dec 8, 2022Updated 3 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.
- Quasi-geostrophic spectral solver in PyTorch☆18Sep 18, 2022Updated 3 years ago
- ☆278Nov 4, 2022Updated 3 years ago
- ☆48Dec 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
- The realisations and examples of algorithms from FEDOT framework☆12May 27, 2021Updated 4 years ago
- ☆21Sep 28, 2020Updated 5 years ago
- Differential equation neural operator☆22Sep 4, 2023Updated 2 years ago
- ☆26Jun 16, 2018Updated 7 years ago
- Multi-task physics-informed neural networks☆25Oct 29, 2022Updated 3 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.
- ☆55Jun 16, 2022Updated 3 years ago
- ☆26Dec 21, 2023Updated 2 years ago
- Learning with Higher Expressive Power than Neural Networks (On Learning PDEs)☆16Feb 17, 2021Updated 5 years ago
- Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…☆59May 20, 2022Updated 4 years ago
- Based on bezier curve fitting to fill the structure information + criminisi image inpainting algorithm.☆14Jul 23, 2018Updated 7 years ago
- Physics-informed learning of governing equations from scarce data☆171Jul 19, 2023Updated 2 years ago
- ☆19Dec 2, 2020Updated 5 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
- ☆13Mar 11, 2025Updated last year
- 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.
- Simplified implementation of locally adaptive activation functions (LAAF) with slope recovery for deep and physics-informed neural networ…☆31Mar 8, 2021Updated 5 years ago
- [ICML 2024] Official Pytorch implementation of the paper "A Neural-Guided Dynamic Symbolic Network for Exploring Mathematical Expressions…☆22Nov 15, 2025Updated 6 months ago
- Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations☆289Jul 30, 2022Updated 3 years ago
- ☆14Jan 22, 2022Updated 4 years ago
- ☆35Jan 29, 2021Updated 5 years ago
- Benchmarking of diffusion models for global field reconstruction from sparse observations☆33Mar 22, 2026Updated last month
- combination of sparse identification of nonlinear dynamics with Akaike information criteria☆17Aug 19, 2017Updated 8 years ago
- Implementation for Non-stationary Spectral Kernels (NIPS 2017)☆20Jan 4, 2020Updated 6 years ago
- 🏔️ PINNACLE: PINN Adaptive ColLocation and Experimental points selection☆30Jul 26, 2024Updated last year
- 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.
- Deep identification of symbolic open-form PDEs via enhanced reinforcement-learning☆42Dec 17, 2024Updated last year
- This repository contains code for the paper "MAgNet: Mesh-Agnostic Neural PDE Solver" https://arxiv.org/abs/2210.05495☆39Jun 21, 2023Updated 2 years ago
- Long-term probabilistic forecasting of quasiperiodic phenomena using Koopman theory☆36Jan 22, 2022Updated 4 years ago
- ☆16Nov 20, 2023Updated 2 years ago
- ☆10Dec 17, 2019Updated 6 years ago
- Official repo for separable operator networks -- extreme-scale operator learning for parametric PDEs.☆39Nov 2, 2024Updated last year
- Hidden physics models: Machine learning of nonlinear partial differential equations☆151Feb 20, 2020Updated 6 years ago