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
- Neural network based solvers for partial differential equations and inverse problems . Implementation of physics-informed neural networks…☆157Updated 11 months ago
- Solving PDEs with NNs☆55Updated 2 years ago
- Innovative, efficient, and computational-graph-based finite element simulator for inverse modeling☆87Updated 4 years ago
- ☆73Updated 5 years ago
- Learning Green's functions of partial differential equations with deep learning.☆71Updated last year
- A pyTorch Extension for Applied Mathematics☆40Updated 5 years ago
- ☆118Updated 6 years ago
- Automatic Differentiation Library for Computational and Mathematical Engineering☆312Updated 2 years ago
- Example problems in Physics informed neural network in JAX☆82Updated 2 years ago
- Deep Learning application to the partial differential equations☆30Updated 7 years ago
- Convolutional Solvers for Partial Differential Equations☆27Updated 5 years ago
- Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations☆283Updated 3 years ago
- Dimension reduced surrogate construction for parametric PDE maps☆38Updated 3 months ago
- Hidden physics models: Machine learning of nonlinear partial differential equations☆147Updated 5 years ago
- ☆55Updated 2 years ago
- ☆42Updated 5 years ago
- Studying quadrature methods applied to PINNs☆26Updated 4 years ago
- hPINN: Physics-informed neural networks with hard constraints☆150Updated 4 years ago
- Datasets and code for results presented in the ProbConserv paper☆56Updated last year
- SINDy (Sparse Identification of Nonlinear Dynamics) algorithms☆79Updated 3 years ago
- Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"☆39Updated 3 years ago
- Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers☆169Updated 3 years ago
- ☆61Updated 2 years ago
- Differentiable interface to FEniCS for JAX☆58Updated 4 years ago
- Dynamic Mode Decomposition☆61Updated 8 years ago
- A library for dimensionality reduction on spatial-temporal PDE☆70Updated last year
- A Python library for training neural ODEs.☆26Updated 10 months ago
- PyTorch-FEniCS interface☆103Updated 4 years ago
- Code for "Learning data-driven discretizations for partial differential equations"☆167Updated 4 months ago