apallath / torch_modelsLinks
Basic deep learning models in PyTorch.
☆10Updated 5 years ago
Alternatives and similar repositories for torch_models
Users that are interested in torch_models are comparing it to the libraries listed below
Sorting:
- Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed c…☆117Updated 3 years ago
- Learning Green's functions of partial differential equations with deep learning.☆71Updated 2 years ago
- Innovative, efficient, and computational-graph-based finite element simulator for inverse modeling☆87Updated 4 years ago
- A pyTorch Extension for Applied Mathematics☆40Updated 5 years ago
- Solving PDEs with NNs☆55Updated 3 years ago
- Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations☆285Updated 3 years ago
- jupyter notebooks for the neural nets and differential equation paper☆28Updated 4 years ago
- ☆74Updated 5 years ago
- Neural network based solvers for partial differential equations and inverse problems . Implementation of physics-informed neural networks…☆159Updated last year
- Automatic Differentiation Library for Computational and Mathematical Engineering☆315Updated 2 years ago
- ☆118Updated 6 years ago
- Deep Learning application to the partial differential equations☆30Updated 7 years ago
- Hidden physics models: Machine learning of nonlinear partial differential equations☆149Updated 5 years ago
- Code for "Learning data-driven discretizations for partial differential equations"☆167Updated 5 months ago
- ☆42Updated 5 years ago
- A library for dimensionality reduction on spatial-temporal PDE☆71Updated last month
- An Extensible Software Framework for Large-Scale Inverse Problems☆160Updated last month
- ☆196Updated 4 years ago
- ☆19Updated 5 years ago
- Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data☆150Updated 6 years ago
- Distributed Fourier Neural Operators☆32Updated 3 years ago
- Example problems in Physics informed neural network in JAX☆81Updated 2 years ago
- SINDy (Sparse Identification of Nonlinear Dynamics) algorithms☆79Updated 3 years ago
- A Tensorflow re-implementation of the paper Convolutional Neural Networks for Steady Flow Approximation☆168Updated 7 years ago
- Dimension reduced surrogate construction for parametric PDE maps☆39Updated 5 months ago
- PyTorch-FEniCS interface☆106Updated 4 years ago
- Datasets and code for results presented in the BOON paper☆45Updated 2 years ago
- A MATLAB package for computing the optimized dynamic mode decomposition (DMD)☆20Updated 7 years ago
- ☆55Updated 2 years ago
- Forward-Backward Stochastic Neural Networks: Deep Learning of High-dimensional Partial Differential Equations☆156Updated 5 years ago