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10 search results found

Phiflow ⭐ 1,093

A differentiable PDE solving framework for machine learning

Neurodiffeq ⭐ 576

A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, including at Harvard IACS.

PyDEns is a framework for solving Ordinary and Partial Differential Equations (ODEs & PDEs) using neural networks

Highdimpde.jl ⭐ 61

A Julia package for Deep Backwards Stochastic Differential Equation (Deep BSDE) and Feynman-Kac methods to solve high-dimensional PDEs without the curse of dimensionality

Convolutionalneuraloperator ⭐ 52

This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs

Awesome Graph Pde ⭐ 34

Collection of resources about partial differential equations, graph neural networks, deep learning and dynamical system simulation

This repository contains code for the paper "MAgNet: Mesh-Agnostic Neural PDE Solver" https://arxiv.org/abs/2210.05495

Pararealml ⭐ 19

A machine learning boosted parallel-in-time differential equation solver framework.

Deep Multilevel Kolmogorov Pde Solver ⭐ 8

Solving stochastic differential equations and Kolmogorov equations by means of deep learning and Multilevel Monte Carlo simulation

Pde_deep_learning ⭐ 5

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