google-research / swirl-dynamicsLinks
Swirl-Dynamics is a python repository that provides implementations of models, benchmarks and utilities for dynamical systems.
☆77Updated last week
Alternatives and similar repositories for swirl-dynamics
Users that are interested in swirl-dynamics are comparing it to the libraries listed below
Sorting:
- Official PyTorch implementation of the Vectorized Conditional Neural Field.☆16Updated last year
- [Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled T…☆95Updated 2 months ago
- ☆36Updated 2 years ago
- Code for paper "Multiple Physics Pretraining for Physical Surrogate Models☆185Updated last year
- Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation☆102Updated last year
- Codomain attention neural operator for single to multi-physics PDE adaptation.☆75Updated 7 months ago
- ☆19Updated last year
- [NeurIPS 2025 Spotlight] "Stochastic Process Learning via Operator Flow Matching"☆16Updated 2 months ago
- Spectral Neural Operator☆79Updated 2 years ago
- Model hub for all your DiffeqML needs. Pretrained weights, modules, and basic inference infrastructure☆28Updated 2 years ago
- AL4PDE: A Benchmark for Active Learning for Neural PDE Solvers☆28Updated 7 months ago
- Code for the paper "Poseidon: Efficient Foundation Models for PDEs"☆168Updated 9 months ago
- ☆38Updated 4 years ago
- ☆284Updated last year
- An unofficial implementation of the Fourier Neural Operator in Flax☆19Updated last year
- Solving Inverse Physics Problems with Score Matching☆31Updated 2 years ago
- The public repository about our joint FINN research project☆37Updated 3 years ago
- Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"☆56Updated 2 years ago
- ☆52Updated last year
- Generative Learning for Forecasting the Dynamics of High Dimensional Complex Systems☆40Updated 10 months ago
- ☆41Updated 4 months ago
- NeuralGCM's differentiable dycore☆312Updated this week
- Bootcamp notebooks☆62Updated 5 months ago
- ☆14Updated last year
- This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs☆204Updated last month
- Quantification of Uncertainties in Neural Networks☆11Updated 2 months ago
- This repository contains code for the paper "MAgNet: Mesh-Agnostic Neural PDE Solver" https://arxiv.org/abs/2210.05495☆38Updated 2 years ago
- ☆25Updated 2 years ago
- Time- and space-continuous neural PDE forecaster based on INRs and ODEs - ICLR 2023☆73Updated 2 years ago
- Official implementation of "Lost in Latent Space: An Empirical Study of Latent Diffusion Models for Physics Emulation"☆50Updated 3 months ago