maziarraissi / FBSNNsLinks
Forward-Backward Stochastic Neural Networks: Deep Learning of High-dimensional Partial Differential Equations
☆153Updated 5 years ago
Alternatives and similar repositories for FBSNNs
Users that are interested in FBSNNs are comparing it to the libraries listed below
Sorting:
- Companion code for "Solving Nonlinear and High-Dimensional Partial Differential Equations via Deep Learning" by A. Al-Aradi, A. Correia, …☆117Updated 5 years ago
- Solving High Dimensional Partial Differential Equations with Deep Neural Networks☆34Updated 3 years ago
- This repository contains a number of Jupyter Notebooks illustrating different approaches to solve partial differential equations by means…☆176Updated 4 years ago
- ☆63Updated 5 years ago
- Hidden physics models: Machine learning of nonlinear partial differential equations☆145Updated 5 years ago
- Deep BSDE solver in TensorFlow☆275Updated last month
- Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations☆279Updated 2 years ago
- ☆117Updated 5 years ago
- Implementation of the Deep Ritz method and the Deep Galerkin method☆55Updated 5 years ago
- Multistep Neural Networks for Data-driven Discovery of Nonlinear Dynamical Systems☆63Updated 5 years ago
- Group project for Deep Learning: Algorithms and Applications in Peking University 2018 Spring. This is a brief survey, discussion and imp…☆44Updated 6 years ago
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆69Updated 5 years ago
- ☆210Updated 3 years ago
- ☆41Updated 5 years ago
- ☆253Updated 2 years ago
- Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data☆149Updated 5 years ago
- Python codes for Introduction to Computational Stochastic PDE☆43Updated 3 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
- ☆141Updated 2 years ago
- Deep learning library for solving differential equations on top of PyTorch.☆61Updated 4 years ago
- ☆180Updated 2 months ago
- hPINN: Physics-informed neural networks with hard constraints☆133Updated 3 years ago
- Solving high-dimensional Partial Differential Equations with Deep Learning☆27Updated 5 years ago
- CS230 Project: Deep Learning for PDE☆41Updated 6 years ago
- Physics-constrained auto-regressive convolutional neural networks for dynamical PDEs☆92Updated 3 years ago
- TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).☆259Updated last year
- PDE-Net: Learning PDEs from Data☆315Updated 3 years ago
- A pyTorch Extension for Applied Mathematics☆39Updated 5 years ago
- Code for "Learning data-driven discretizations for partial differential equations"☆168Updated 5 years ago
- jupyter notebooks for the neural nets and differential equation paper☆28Updated 4 years ago