Pde Solver Collection

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🔮Psychic

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“A differentiable PDE solving framework for machine learning”

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

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📦Normal

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“Investigating PINNs”

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🔮Psychic

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“A flexible framework for solving PDEs with modern spectral methods.”

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🔮Psychic

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“[NeurIPS 2024] Codebase for PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.”

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🔮Psychic

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“A Library for Advanced Neural PDE Solvers.”

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📦Normal

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

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🔮Psychic

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“2D-Finite Element Analysis with Python”

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🔮Psychic

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“IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.”

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🔮Psychic

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

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📦Normal

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“Efficient Differentiable n-d PDE Solvers in JAX.”

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🌊Water

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“开源Go语言数值算法库(An open numerical library purely based on Go programming language)”

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“PyClaw is a Python-based interface to the algorithms of Clawpack and SharpClaw. It also contains the PetClaw package, which adds parallelism through PETSc.”

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🔮Psychic

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“The first open-source repository for Scientific Machine Learning (PINNs, PIELM, RFM, Neural Operators) via Vibe Coding. JAX-GPU implementations with Chinese tutorials. 首个采用 Vibe Coding 进行科学机器学习研究的开源仓库。”

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⚔️Fighting

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“Cloud-first free no-fee no-X uniX-like finite-element(ish) computational engineering tool”

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🔮Psychic

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“Python library for simulating heat transfer processes”

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

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“Solving differential equations in parallel on GPUs - JuliaCon 2021 workshop”