benmoseley / symbolic-regression-with-deep-neural-networks-workshopLinks
Introductory workshop on using deep neural networks for symbolic regression
☆13Updated 8 months ago
Alternatives and similar repositories for symbolic-regression-with-deep-neural-networks-workshop
Users that are interested in symbolic-regression-with-deep-neural-networks-workshop are comparing it to the libraries listed below
Sorting:
- Simple demo on implementing data driven and physics informed Deep O Nets in pytorch☆19Updated last year
- This repository contains code, which was used to generate large-scale results in the HINTS paper.☆35Updated last year
- PINNs-JAX, Physics-informed Neural Networks (PINNs) implemented in JAX.☆57Updated last year
- Introduction to JAX Workshop @ ETH Zurich, 25 June 2024☆39Updated 8 months ago
- ☆12Updated 3 years ago
- Code for Mesh Transformer describes in the EAGLE dataset☆42Updated 10 months ago
- Learning with Higher Expressive Power than Neural Networks (On Learning PDEs)☆16Updated 4 years ago
- Physics-informed neural networks☆16Updated 5 years ago
- ☆16Updated last year
- Source code for paper "Learning the Solution Operator of Boundary Value Problems using Graph Neural Networks"☆19Updated last year
- Geometric Neural Operators (GNPs) for machine learning tasks on point-cloud representations: curvature estimation, shape deformations, so…☆31Updated last week
- ☆17Updated last year
- Bayesian autoencoders for data-driven discovery of coordinates, governing equations and fundamental constants. Proceedings of the Royal S…☆11Updated last year
- The source code the for the ICLR'24 paper "Stabilizing Backpropagation Through Time to Learn Complex Physics"☆11Updated last year
- ☆18Updated last year
- AL4PDE: A Benchmark for Active Learning for Neural PDE Solvers☆28Updated 7 months ago
- ☆29Updated 3 years ago
- Official Code for ICML 2024 paper "TENG: Time-Evolving Natural Gradient for Solving PDEs With Deep Neural Nets Toward Machine Precision"☆15Updated last year
- TorchFSM: Fourier Spectral Method with PyTorch☆53Updated this week
- Stochastic Physics-Informed Neural Networks: A Moment-Matching Framework for Learning Hidden Physics within Stochastic Differential Equat…☆14Updated 4 years ago
- Official Implementation of "AIVT: Inference of turbulent thermal convection from measured 3D velocity data by physics-informed Kolmogorov…☆16Updated 2 months ago
- ☆14Updated 4 years ago
- DON-LSTM: Multi-Resolution Learning with DeepONets and Long-Short Term Memory Neural Networks☆11Updated 3 months ago
- Code for paper Sparse identification of nonlinear dynamics with Shallow Recurrent Decoder Networks.☆35Updated last month
- Differential equation neural operator☆22Updated 2 years ago
- ☆34Updated last year
- Official repo for separable operator networks -- extreme-scale operator learning for parametric PDEs.☆37Updated last year
- [ICLR 2024] Neural Spectral Methods: Self-supervised learning in the spectral domain.☆48Updated last year
- Machine learning algorithms for discovering dimensionless groups from simulation and experimental data☆13Updated 3 years ago
- ☆15Updated 2 years ago