Different methods of solving partial differential equations with neural networks
☆18Oct 21, 2021Updated 4 years ago
Alternatives and similar repositories for Neural-Network-for-solving-PDE
Users that are interested in Neural-Network-for-solving-PDE are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Finite Volume PINNs for Hyperbolic Conservation Laws & Compressible Flow☆24Nov 29, 2022Updated 3 years ago
- ☆10Jan 25, 2018Updated 8 years ago
- Physics-informed neural networks (PINNs)☆15Jun 7, 2022Updated 3 years ago
- This repo is a work in progress aimed at gathering useful open-source resources for CFD engineers in one place. It includes notes, script…☆29Mar 1, 2026Updated last month
- Solving PDEs with NNs☆56Jan 6, 2023Updated 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.
- ☆11Sep 25, 2022Updated 3 years ago
- Codebase for Master's dissertation in Mathematics at Durham University. Topic: applying neural networks to differential equations. Grade:…☆17Aug 17, 2023Updated 2 years ago
- ☆15Mar 6, 2024Updated 2 years ago
- This repository introduces Partial Differential Equation Solver using neural network that can learn resolution-invariant solution operato…☆17Nov 23, 2021Updated 4 years ago
- Deep Learning for Solving Differential Equations (Educational)☆19Nov 30, 2023Updated 2 years ago
- Physics-informed deep super-resolution of spatiotemporal data☆48Sep 5, 2023Updated 2 years ago
- Using spaCy and NLTK along with a Bag of Words approach, this repo automates the process of combing through FOMC minutes transcripts to d…☆12Feb 11, 2021Updated 5 years ago
- Completing overlapping elliptical convex objects through ellipse fitting☆10Apr 23, 2020Updated 5 years ago
- Bayer, Friz, Gulisashvili, Horvath, Stemper (2017). Short-time near-the-money skew in rough fractional volatility models.☆13Mar 23, 2017Updated 9 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.
- NVIDIA IndeX cloud utilities☆12Oct 30, 2022Updated 3 years ago
- Thesis support material☆11Mar 28, 2021Updated 5 years ago
- Code and data in support of publication on Cardiac PINN☆24Apr 24, 2021Updated 4 years ago
- ☆11Apr 14, 2022Updated 4 years ago
- ☆13Jun 9, 2023Updated 2 years ago
- Scientific Machine Learning☆16Aug 12, 2025Updated 8 months ago
- This repository contains the code to generate results from the paper "Artificial Neural Networks to solve dynamic programming problems: a…☆10May 24, 2024Updated last year
- Code for solving HANK models in continuous time in Python using numba and UMFPACK☆13Feb 19, 2020Updated 6 years ago
- A python implementation of the fast-reversion Heston model of Mechkov [2015, https://goo.gl/2awbrV], for FX purposes.☆13May 24, 2018Updated 7 years ago
- Wordpress hosting with auto-scaling - Free Trial • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Official code for DPM : A Novel Training Method for Physics-Informed Neural Networks in Extrapolation☆10Nov 2, 2021Updated 4 years ago
- Gradient-based deterministic inversion in the latent space of a GAN for a linear geophysical problem☆11May 22, 2019Updated 6 years ago
- ☆10Mar 31, 2021Updated 5 years ago
- The MedDataSets package provides a comprehensive collection of datasets related to medicine, diseases, treatments, drugs, and public heal…☆11Oct 24, 2024Updated last year
- [PACIS 2024] The official repo for the paper: "Phase Space Reconstructed Neural Ordinary Differential Equations Model for Stock Price For…☆10May 21, 2025Updated 10 months ago
- Code accompanying the manuscript "Augmented Physics-Informed Neural Networks (APINNs): A gating network-based soft domain decomposition m…☆16Sep 18, 2023Updated 2 years ago
- timeseriesdatasets R Package - A collection of time series data sets for the R programming language☆10Sep 13, 2024Updated last year
- ☆13Aug 12, 2023Updated 2 years ago
- Implementation of the rough volatility model and its calibration☆10Jul 11, 2020Updated 5 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Use Random Forests (RF) to predict subsurface reservoir parameters (e.g. porosity, permeability) and lithology from seismic data.☆12Aug 17, 2022Updated 3 years ago
- Seismic attributes calculation in matlab☆14Jun 22, 2020Updated 5 years ago
- ☆11Nov 12, 2020Updated 5 years ago
- Data-driven Geometric Multi-Grid solver for the discrete Poisson equation☆41Apr 17, 2022Updated 4 years ago
- GraphVAMPnets combines graph neural networks with variational approach for Markovian process (VAMP) theory to identify the slow collectiv…☆12Feb 20, 2024Updated 2 years ago
- Vector Autoregressive models in Python☆11Jun 6, 2018Updated 7 years ago
- ☆18Oct 13, 2025Updated 6 months ago