bjpcjp / Numeric-PythonLinks
Covers a variety of computational topics including integration, differential equations, statistical analysis and signal processing.
☆14Updated last year
Alternatives and similar repositories for Numeric-Python
Users that are interested in Numeric-Python are comparing it to the libraries listed below
Sorting:
- Code for "Nonlinear stochastic modeling with Langevin regression" J. L. Callaham, J.-C. Loiseau, G. Rigas, and S. L. Brunton☆25Updated 3 years ago
- Convolutional Solvers for Partial Differential Equations☆28Updated 4 years ago
- Uncertainty Quantification in the POD-NN framework☆22Updated 4 years ago
- Solving ODE by artificial neural networks☆22Updated 6 years ago
- Material for a course on finite difference methods for differential equations.☆53Updated 10 years ago
- Computers, Waves, Simulations: A Practical Introduction to Numerical Methods using Python☆13Updated 5 years ago
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆69Updated 5 years ago
- ☆24Updated 5 years ago
- PySpectral is a Python package for solving the partial differential equation (PDE) of Burgers' equation in its deterministic and stochast…☆14Updated 2 years ago
- N-dimensional adaptive mesh refinment tree structure in Python☆17Updated 6 years ago
- A Hands-on Introduction to Physics-Informed Neural Networks☆18Updated last month
- Neural network based solvers for partial differential equations and inverse problems . Implementation of physics-informed neural networks…☆17Updated 3 years ago
- Jupyter notebook class notes for Numerical Methods for PDEs☆145Updated 2 years ago
- Notebooks and documents to build Computational Mechanics course☆53Updated 2 weeks ago
- Some open material relating to the Southampton Numerical Methods course☆104Updated 6 years ago
- PyStokes: phoresis and Stokesian hydrodynamics in Python. github.com/rajeshrinet/pystokes☆47Updated last month
- ☆18Updated 4 years ago
- Python for HPC Tutorial Notebooks☆64Updated 10 years ago
- Code for the paper "Generative AI for fast and accurate statistical computation of fluids"☆31Updated 2 months ago
- Simulation-Enabled Prediction, Inference, and Analysis: physics-informed statistical learning.☆35Updated last year
- Multi Fidelity Monte Carlo☆25Updated 5 years ago
- ☆53Updated this week
- ☆12Updated 4 months ago
- Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed c…☆115Updated 3 years ago
- A Computational Fluid Dynamics (CFD) course with Python☆82Updated last year
- Data and Code supporting the eBook by Castro and Vanderwel (2021)☆20Updated 3 years ago
- Dimension reduced surrogate construction for parametric PDE maps☆37Updated 2 months ago
- Deep Learning application to the partial differential equations☆30Updated 7 years ago
- ☆34Updated last month
- Random snippets of code I've developed over the years (generally when bored)☆12Updated last year