UNIVR PDE course project and just for fun
☆118May 26, 2017Updated 8 years ago
Alternatives and similar repositories for Neural-Networks-for-Differential-Equations
Users that are interested in Neural-Networks-for-Differential-Equations are comparing it to the libraries listed below
Sorting:
- ☆15May 21, 2020Updated 5 years ago
- Solving ODE by artificial neural networks☆22Oct 13, 2018Updated 7 years ago
- PDE-Net: Learning PDEs from Data☆330Jun 26, 2021Updated 4 years ago
- Interactive Jupyter notebooks that illustrate solutions of linear heat, Laplace, transport, and wave equations☆10Nov 7, 2023Updated 2 years ago
- Implementation of the Deep Ritz method and the Deep Galerkin method☆62Jun 4, 2020Updated 5 years ago
- heat equation in tensorflow☆10Feb 14, 2017Updated 9 years ago
- CS230 Project: Deep Learning for PDE☆40Jun 10, 2018Updated 7 years ago
- The repository contains implementations of examples provided in the literature on energy minimization based approach to Physics Informed …☆11Apr 8, 2020Updated 5 years ago
- Quantum Algorithms for solving differential equations☆54Aug 24, 2024Updated last year
- 2D Heat Equation solver in Python☆18Nov 10, 2016Updated 9 years ago
- Physics-Informed Neural Networks for solving PDEs (bachelor project)☆10Mar 20, 2023Updated 3 years ago
- Scripts to calculate moment diagnostics for the stratospheric polar vortex☆14Dec 11, 2018Updated 7 years ago
- Trajectory analysis software, that produces time height cross sections with residencte time clustered by surface type.☆12Aug 3, 2025Updated 7 months ago
- Methods to extract advective, diffusive, stochastic and active transport barriers from 2D and 3D data.☆13Jun 18, 2024Updated last year
- Tool to download CMIP5 data from CEDA☆13Nov 30, 2018Updated 7 years ago
- A brief Julia tutorial☆14Oct 22, 2024Updated last year
- Learning to walk with genetic algorithms by optimizing a truncated Fourier series, applied to a realistic bio-mechanical model of the hum…☆36Oct 14, 2017Updated 8 years ago
- Implementation of Variance Reduction Techniques in Julia☆11Sep 6, 2016Updated 9 years ago
- This repository contains code and config files that accompany the blog post:☆16Aug 30, 2019Updated 6 years ago
- Collection of examples with LSTM recurrent neural networks☆11Jul 7, 2017Updated 8 years ago
- A numerical model of atmospheric general circulation on the tropical beta-plane based on the Gill 1980 paper.☆17May 13, 2022Updated 3 years ago
- A set of GrADS functions in Python (hdivg, hcurl...)☆11May 19, 2021Updated 4 years ago
- Dynamic weight strategy of physics-informed neural networks for the 2D Navier-Stokes equations☆14Sep 1, 2022Updated 3 years ago
- Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations☆285Jul 30, 2022Updated 3 years ago
- ☆23Jul 11, 2019Updated 6 years ago
- Lean 4 as a scripting language in Houdini☆21Mar 13, 2024Updated 2 years ago
- Matlab toolbox for dynamic linear models☆13Jul 7, 2021Updated 4 years ago
- Companion code for "Solving Nonlinear and High-Dimensional Partial Differential Equations via Deep Learning" by A. Al-Aradi, A. Correia, …☆123Jul 30, 2019Updated 6 years ago
- Machine Learning for Internet of Things☆12Jul 24, 2019Updated 6 years ago
- Generic Interface Readilly Accessible for Finite Elements☆17Mar 10, 2026Updated last week
- Solving high-dimensional Partial Differential Equations with Deep Learning☆27Jul 23, 2019Updated 6 years ago
- Run GEOS-Chem easily on AWS cloud☆41Mar 5, 2026Updated 2 weeks ago
- PyDEns is a framework for solving Ordinary and Partial Differential Equations (ODEs & PDEs) using neural networks☆315Feb 9, 2024Updated 2 years ago
- Scripts for benchmarking performance of Zarr and HDF5 in different contexts☆11Feb 21, 2019Updated 7 years ago
- Comparison of various numerical methods for computational fluid dynamics☆75May 8, 2025Updated 10 months ago
- Materials for short course on Bayesian inference at the Data Science Summer School☆13Jun 28, 2019Updated 6 years ago
- Code for the paper "Variational Monte Carlo Approach to Partial Differential Equations with Neural Networks" (https://arxiv.org/abs/2206.…☆10Aug 8, 2022Updated 3 years ago
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.☆78Aug 4, 2023Updated 2 years ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆32Updated this week