tonyshardlow / PICSPDELinks
Python codes for Introduction to Computational Stochastic PDE
☆44Updated 5 months ago
Alternatives and similar repositories for PICSPDE
Users that are interested in PICSPDE are comparing it to the libraries listed below
Sorting:
- Forward-Backward Stochastic Neural Networks: Deep Learning of High-dimensional Partial Differential Equations☆154Updated 5 years ago
- Companion code for "Solving Nonlinear and High-Dimensional Partial Differential Equations via Deep Learning" by A. Al-Aradi, A. Correia, …☆117Updated 5 years ago
- This repository contains a number of Jupyter Notebooks illustrating different approaches to solve partial differential equations by means…☆176Updated 4 years ago
- ☆41Updated 5 years ago
- ☆181Updated 3 months ago
- Deep BSDE solver in TensorFlow☆277Updated 2 months ago
- Solving High Dimensional Partial Differential Equations with Deep Neural Networks☆34Updated 3 years ago
- Practicum on Supervised Learning in Function Spaces☆33Updated 3 years ago
- Solving high-dimensional Partial Differential Equations with Deep Learning☆27Updated 5 years ago
- PDE-VAE: Variational Autoencoder for Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised Learning☆36Updated 3 years ago
- ☆116Updated 5 years ago
- kramersmoyal: Kramers-Moyal coefficients for stochastic data of any dimension, to any desired order☆74Updated 6 months ago
- Different methods of solving partial differential equations with neural networks☆17Updated 3 years ago
- ☆23Updated last week
- Code for "Nonlinear stochastic modeling with Langevin regression" J. L. Callaham, J.-C. Loiseau, G. Rigas, and S. L. Brunton☆26Updated 3 years ago
- ☆72Updated 4 years ago
- Bayesian neural networks via MCMC: tutorial☆56Updated 8 months ago
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆69Updated 5 years ago
- Multi Fidelity Monte Carlo☆24Updated 5 years ago
- This is the repository for the code used in the ICML23 paper called "Achieving High Accuracy with PINNs via Energy Natural Gradient Desce…☆20Updated 8 months ago
- ☆48Updated last year
- Numerical integration of Ito or Stratonovich SDEs☆167Updated 2 years ago
- Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…☆56Updated 3 years ago
- SINDy (Sparse Identification of Nonlinear Dynamics) algorithms☆78Updated 2 years ago
- ☆10Updated 4 months ago
- ME 539 - Introduction to Scientific Machine Learning☆121Updated this week
- Pseudospectral Kolmogorov Flow Solver☆40Updated last year
- ☆105Updated last week
- Bootcamp notebooks☆55Updated last year
- ☆253Updated 2 years ago