rssalessio / PytorchRBFLayerLinks
Pytorch RBF Layer implements a radial basis function layer in Pytorch. Radial Basis networks can be used to approximate functions.
☆51Updated 2 months ago
Alternatives and similar repositories for PytorchRBFLayer
Users that are interested in PytorchRBFLayer are comparing it to the libraries listed below
Sorting:
- ☆13Updated 3 years ago
- A tool for generating PDEs ground truth datasets from ARCSim, FEniCS and SU2☆37Updated 4 years ago
- The public repository about our joint FINN research project☆38Updated 3 years ago
- Solving Inverse Physics Problems with Score Matching☆32Updated 2 years ago
- Sample codes for training of Voronoi-tessellation-assisted convolutional neural network by Fukami et al. (Nature Machine Intelligence 202…☆59Updated 2 years ago
- Practicum on Supervised Learning in Function Spaces☆34Updated 3 years ago
- Transformers for modeling physical systems☆148Updated 2 years ago
- Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."☆76Updated 9 months ago
- PDE-VAE: Variational Autoencoder for Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised Learning☆36Updated 4 years ago
- Learning two-phase microstructure evolution using neural operators and autoencoder architectures☆26Updated last year
- [ICLR2025 Spotlight] Official implementation of Conflict-Free Inverse Gradients Method☆101Updated 2 months ago
- Source code for paper "Learning the Solution Operator of Boundary Value Problems using Graph Neural Networks"☆19Updated last year
- A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.☆27Updated 4 years ago
- ☆21Updated 3 years ago
- AL4PDE: A Benchmark for Active Learning for Neural PDE Solvers☆29Updated 8 months ago
- Solving High Frequency and Multi-Scale PDEs with Gaussian Processes (ICLR 2024)☆25Updated last year
- Synthetic Lagrangian Turbulence by Generative Diffusion Models☆26Updated last year
- [Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled T…☆97Updated 2 months ago
- [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.☆37Updated last year
- Codes associated with the manuscript titled "Multi-stage neural networks: Function approximator of machine precision"☆50Updated last year
- ☆35Updated 5 years ago
- Solving inverse problems using conditional invertible neural networks.☆33Updated 4 years ago
- Time- and space-continuous neural PDE forecaster based on INRs and ODEs - ICLR 2023☆73Updated 2 years ago
- MeshGraphNets (MGN)☆71Updated 2 years ago
- ☆36Updated 3 years ago
- ☆42Updated 5 years ago
- [NeurIPS 2023 Spotlight] Separable Physics-Informed Neural Networks☆88Updated 2 years ago
- ☆50Updated 2 years ago
- ☆36Updated 2 years ago
- Code for the paper: Solving and Learning Nonlinear PDEs with Gaussian Processes☆40Updated 6 months ago