jpzxshi / learnerLinks
☆23Updated 4 months ago
Alternatives and similar repositories for learner
Users that are interested in learner are comparing it to the libraries listed below
Sorting:
- ☆28Updated 4 years ago
- ☆39Updated 2 months ago
- Transformers for modeling physical systems☆145Updated 2 years ago
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.☆74Updated 2 years ago
- ☆21Updated 2 years ago
- Implementation of the Deep Ritz method and the Deep Galerkin method☆61Updated 5 years ago
- ☆35Updated 4 years ago
- Multistep Neural Networks for Data-driven Discovery of Nonlinear Dynamical Systems☆63Updated 5 years ago
- A library for dimensionality reduction on spatial-temporal PDE☆70Updated last year
- ☆116Updated 6 years ago
- 采用PINN/ResPINN对两种偏微分方程（Burgers&Allen-Cahn）的训练与求解☆15Updated 4 years ago
- Neural Stochastic PDEs: resolution-invariant modelling of continuous spatiotemporal dynamics☆53Updated 2 years ago
- Neural Galerkin☆16Updated 2 years ago
- To address some of the failure modes in training of physics informed neural networks, a Lagrangian architecture is designed to conform to…☆50Updated 2 years ago
- ☆54Updated 3 years ago
- This repository contains a number of Jupyter Notebooks illustrating different approaches to solve partial differential equations by means…☆179Updated 4 years ago
- Forward-Backward Stochastic Neural Networks: Deep Learning of High-dimensional Partial Differential Equations☆156Updated 5 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
- 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
- Solving High Dimensional Partial Differential Equations with Deep Neural Networks☆34Updated 3 years ago
- PDE-VAE: Variational Autoencoder for Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised Learning☆36Updated 3 years ago
- ☆128Updated 2 years ago
- Code for Mesh Transformer describes in the EAGLE dataset☆42Updated 9 months ago
- Code for the paper "Poseidon: Efficient Foundation Models for PDEs"☆159Updated 7 months ago
- ☆180Updated last year
- In this repository, you will find the different python scripts to train the available models on the AirfRANS dataset proposed at the Neur…☆56Updated 10 months ago
- ☆197Updated 7 months 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
- Resources about Machine Learning for solving PDEs.☆59Updated 2 years ago
- ☆34Updated 3 years ago