partial-differential-equations
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Collection of notebooks about quantitative finance, with interactive python code.
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Oct 22, 2024 - Jupyter Notebook
Learning in infinite dimension with neural operators.
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Nov 1, 2025 - Python
Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
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Nov 3, 2025 - Julia
Next generation FEniCS problem solving environment
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Nov 3, 2025 - C++
PDEBench: An Extensive Benchmark for Scientific Machine Learning
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May 15, 2025 - Python
Pre-built implicit layer architectures with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learning (SciML) and physics-informed machine learning methods
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Oct 15, 2025 - Julia
FreeFEM source code
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Nov 5, 2025 - C++
Grid-based approximation of partial differential equations in Julia
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Nov 6, 2025 - Julia
Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.
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Aug 12, 2025 - CSS
Simulation and Parameter Estimation in Geophysics - A python package for simulation and gradient based parameter estimation in the context of geophysical applications.
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Oct 29, 2025 - Python
FiPy is a Finite Volume PDE solver written in Python
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Sep 30, 2025 - Python
Julia package for function approximation
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Apr 23, 2025 - Julia
Python package for numerical derivatives and partial differential equations in any number of dimensions.
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Sep 8, 2025 - Python
Python package for solving partial differential equations using finite differences.
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Oct 21, 2025 - Python
Finite element toolbox for Julia
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Oct 20, 2025 - Julia
The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems
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Sep 17, 2025 - Julia
Graph Neural PDEs
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Oct 20, 2022 - Jupyter Notebook
Scientific machine learning (SciML) benchmarks, AI for science, and (differential) equation solvers. Covers Julia, Python (PyTorch, Jax), MATLAB, R
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Nov 6, 2025 - MATLAB
PDE-Net: Learning PDEs from Data
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Jun 26, 2021
PyDEns is a framework for solving Ordinary and Partial Differential Equations (ODEs & PDEs) using neural networks
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Feb 9, 2024 - Jupyter Notebook
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