jpzxshi / learnerLinks
☆23Updated last month
Alternatives and similar repositories for learner
Users that are interested in learner are comparing it to the libraries listed below
Sorting:
- Transformers for modeling physical systems☆143Updated 2 years ago
- ☆28Updated 4 years ago
- ☆35Updated 4 years ago
- ☆36Updated last year
- ☆126Updated 2 years ago
- ☆116Updated 6 years ago
- Implementation of the Deep Ritz method and the Deep Galerkin method☆58Updated 5 years ago
- Multistep Neural Networks for Data-driven Discovery of Nonlinear Dynamical Systems☆63Updated 5 years 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
- ☆21Updated 2 years ago
- ☆187Updated 4 months ago
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.☆73Updated 2 years ago
- LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite☆65Updated 7 months ago
- Repo to the paper "Message Passing Neural PDE Solvers"☆135Updated 11 months ago
- A library for dimensionality reduction on spatial-temporal PDE☆66Updated last year
- Multi-fidelity Bayesian Optimization via Deep Neural Nets☆32Updated 4 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…☆21Updated 10 months ago
- SymDer: Symbolic Derivative Approach to Discovering Sparse Interpretable Dynamics from Partial Observations☆21Updated 3 years ago
- In this repository, you will find the different python scripts to train the available models on the AirfRANS dataset proposed at the Neur…☆56Updated 7 months ago
- Neural Stochastic PDEs: resolution-invariant modelling of continuous spatiotemporal dynamics☆53Updated 2 years ago
- Methods and code for J. L. Callaham, J. N. Kutz, B. W. Brunton, and S. L. Brunton (2020)☆57Updated 4 years ago
- ATHENA: Advanced Techniques for High dimensional parameter spaces to Enhance Numerical Analysis☆55Updated 2 years ago
- Stiff-PINN: Physics-Informed Neural Network for Stiff Chemical Kinetics☆63Updated 3 years ago
- ☆48Updated last year
- Solving High Dimensional Partial Differential Equations with Deep Neural Networks☆34Updated 3 years ago
- ☆52Updated 3 years ago
- hPINN: Physics-informed neural networks with hard constraints☆141Updated 3 years ago
- ☆99Updated 3 years ago
- ☆54Updated 2 years ago
- PDE-VAE: Variational Autoencoder for Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised Learning☆35Updated 3 years ago