ZichaoLong / aTEAMLinks
A pyTorch Extension for Applied Mathematics
☆40Updated 5 years ago
Alternatives and similar repositories for aTEAM
Users that are interested in aTEAM are comparing it to the libraries listed below
Sorting:
- PDE-Net: Learning PDEs from Data☆324Updated 4 years ago
- Bayesian deep convolutional encoder-decoder networks for surrogate modeling and uncertainty quantification☆107Updated 5 years ago
- Source code for "Deep Dynamical Modeling and Control of Unsteady Fluid Flows" from NeurIPS 2018☆49Updated 6 years ago
- Forward-Backward Stochastic Neural Networks: Deep Learning of High-dimensional Partial Differential Equations☆156Updated 5 years ago
- Multistep Neural Networks for Data-driven Discovery of Nonlinear Dynamical Systems☆63Updated 5 years ago
- Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations☆282Updated 3 years ago
- Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data☆150Updated 6 years ago
- Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed c…☆116Updated 3 years ago
- jupyter notebooks for the neural nets and differential equation paper☆28Updated 4 years ago
- Deep Learning application to the partial differential equations☆30Updated 7 years ago
- ☆63Updated 6 years ago
- ☆20Updated last month
- Hidden physics models: Machine learning of nonlinear partial differential equations☆147Updated 5 years ago
- Code for "Learning data-driven discretizations for partial differential equations"☆168Updated 2 months ago
- ☆49Updated 2 years ago
- ☆42Updated 5 years ago
- ☆116Updated 6 years ago
- ☆128Updated 2 years ago
- ☆73Updated 5 years ago
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆69Updated 5 years ago
- Solving High Dimensional Partial Differential Equations with Deep Neural Networks☆34Updated 3 years ago
- ☆269Updated 3 years ago
- PyTorch implementation of GMLS-Nets. Machine learning methods for scattered unstructured data sets. Methods for learning differential op…☆27Updated last month
- CS230 Project: Deep Learning for PDE☆40Updated 7 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…☆24Updated last year
- ☆21Updated 2 years ago
- Physics-constrained auto-regressive convolutional neural networks for dynamical PDEs☆93Updated 3 years ago
- Python codes for Locally Adaptive Activation Function (LAAF) used in deep neural networks. Please cite this work as "A D Jagtap, K Kawa…☆43Updated 2 years ago
- ☆195Updated 4 years ago
- SymDer: Symbolic Derivative Approach to Discovering Sparse Interpretable Dynamics from Partial Observations☆21Updated 3 years ago