Grid-based approximation of partial differential equations in Julia

pdes 开源项目推荐(79 个)
pdes 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 79 个仓库Python package for solving partial differential equations using finite differences.
Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]
Code for the paper "Poseidon: Efficient Foundation Models for PDEs"
地球物理流体动力学伪谱求解器,Julia和FourierFlows.jl。
该项目在 GitHub 上没有填写描述
Generative Pre-Trained Physics-Informed Neural Networks Implementation
[NeurIPS 2025]几何感知算子变换器作为任意域偏微分方程高效且准确的神经替代工具
Rensselaer's Optimistic Simulation System
NRPy+, BlackHoles@Home, SENRv2, and the NRPy+ Jupyter Tutorial: Python-Based Code Generation for Numerical Relativity... and Beyond!
一个用于求解任何双曲或抛物型偏微分方程组的Python库。偏微分方程可以有刚性源项和非保守分量。
High-performance finite element toolbox in Julia
Three Dimensional Magnetohydrodynamic(MHD) pseudospectral solvers written in julia with FourierFlows.jl
Folax (Finite Operator Learning with JAX) is a framework for solving and optimizing PDEs by integrating machine learning with numerical methods in computational mechanics.
Spatial bio-chemical reaction model editor and simulator
Physics-informed neural networks (PINNs)
Solver for 1D nonlinear partial differential equations in Julia based on the collocation method of Skeel and Berzins and providing an API similar to MATLAB's pdepe
Simian Process Oriented Conservative JIT PDES from LANL
Repository with notebooks about Physics Informed Neural Networks, written in JAX + Flax.
A 3D solver based on two coupled PDEs for calculation of glaze and rime icing on aircraft surface
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/pdes。
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- 当前 20 个项目累计 2872 Star,覆盖 6 种主要语言,数据更新于 2026-11-08。
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