benmoseley / intro-to-jax-workshop
Introduction to JAX Workshop @ ETH Zurich, 25 June 2024
☆25Updated 7 months ago
Alternatives and similar repositories for intro-to-jax-workshop:
Users that are interested in intro-to-jax-workshop are comparing it to the libraries listed below
- ☆22Updated 6 months ago
- XPINN code written in TensorFlow 2☆27Updated last year
- This repository contains the code and models for our paper "Investigating and Mitigating Failure Modes in Physics-informed Neural Network…☆17Updated last year
- ☆52Updated 2 years ago
- ☆88Updated 3 years ago
- Sparse Physics-based and Interpretable Neural Networks☆46Updated 3 years ago
- A sequential DeepONet model implementation that uses a recurrent neural network (GRU and LSTM) in the branch and a feed-forward neural ne…☆12Updated 8 months ago
- Physics-informed neural networks☆14Updated 4 years ago
- Example problems in Physics informed neural network in JAX☆77Updated last year
- DeepGreen network written in Tensorflow 2☆30Updated 3 years ago
- Stiff-PINN: Physics-Informed Neural Network for Stiff Chemical Kinetics☆55Updated 2 years ago
- A library for dimensionality reduction on spatial-temporal PDE☆62Updated 9 months ago
- ETH Zürich AI in the Sciences and Engineering Master's course 2024☆28Updated 6 months ago
- Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)☆24Updated last year
- Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed c…☆114Updated 2 years ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆24Updated 3 years ago
- Multifidelity DeepONet☆27Updated last year
- Discontinuity Computing Using Physics-Informed Neural Network☆22Updated 9 months ago
- Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative Learning☆17Updated last year
- GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.☆29Updated 7 months ago
- A novel DeepONet architecture that is specifically designed for generating predictions on different 3D geometries discretized by differen…☆12Updated 6 months ago
- Fourier Neural Operators to solve for Allen Cahn PDE equations☆17Updated 3 years ago
- This repository is the official project page of the course AI in the Sciences and Engineering, ETH Zurich.☆157Updated 2 months ago
- when using, please cite "Bayesian Physics-Informed Neural Networks for real-world nonlinear dynamical systems", CMAME, https://doi.org/1…☆62Updated 2 years ago
- ☆49Updated last year
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆67Updated 4 years ago
- Dimensionless learning codes for our paper called "Data-driven discovery of dimensionless numbers and governing laws from scarce measurem…☆35Updated 7 months ago
- This is the repository for the code used in the ICML23 paper called "Achieving High Accuracy with PINNs via Energy Natural Gradient Desce…☆17Updated 3 months ago
- PDE Preserved Neural Network☆43Updated 6 months ago
- ☆51Updated 2 months ago