Swirl-Dynamics is a python repository that provides implementations of models, benchmarks and utilities for dynamical systems.
☆82Aug 25, 2026Updated last week
Alternatives and similar repositories for swirl-dynamics
Users that are interested in swirl-dynamics are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Code for the paper "Generative AI for fast and accurate statistical computation of fluids"☆59Jun 18, 2026Updated 2 months ago
- Pseudospectral Kolmogorov Flow Solver☆43Oct 24, 2023Updated 2 years ago
- Active learning of extreme events using deep neural operators.☆17Nov 10, 2022Updated 3 years ago
- ☆14Feb 18, 2024Updated 2 years ago
- Official implementation of Scalable Transformer for PDE surrogate modelling☆58Mar 23, 2024Updated 2 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Diffusion for climate downscaling☆94Jun 28, 2024Updated 2 years ago
- ☆19Apr 5, 2024Updated 2 years ago
- Uncertainty quantification for machine learning at Cooperative Institute for Research in the Atmosphere☆20Nov 18, 2022Updated 3 years ago
- Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation☆118Dec 13, 2024Updated last year
- [ICML 2024] Official PyTorch implementation of the Vectorized Conditional Neural Field.☆18Aug 1, 2024Updated 2 years ago
- ☆21Jan 4, 2023Updated 3 years ago
- [Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled T…☆109Jun 1, 2026Updated 3 months ago
- "Neural Emulator Superiority: When Machine Learning for PDEs Surpasses its Training Data" [NeurIPS 2025]☆17May 21, 2026Updated 3 months ago
- Code for "Beyond Regular Grids: Fourier-Based Neural Operators on Arbitrary Domains"☆24May 13, 2024Updated 2 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Training methodologies for autoregressive neural operators/emulators in JAX.☆15Jun 1, 2026Updated 3 months ago
- ☆95Jul 18, 2023Updated 3 years ago
- Global Ocean Emulator☆24Mar 17, 2025Updated last year
- ☆21Feb 11, 2025Updated last year
- ☆13Dec 5, 2022Updated 3 years ago
- Code for Mesh Transformer describes in the EAGLE dataset☆43Feb 21, 2025Updated last year
- ☆23Nov 24, 2024Updated last year
- Diffusion Probabilistic Downscaling Model☆31Jul 8, 2024Updated 2 years ago
- ☆19Feb 28, 2026Updated 6 months ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Synthetic Lagrangian Turbulence by Generative Diffusion Models☆28Nov 14, 2024Updated last year
- Quantification of Uncertainties in Neural Networks☆11Aug 29, 2026Updated last week
- [ICLR 2024] Neural Spectral Methods: Self-supervised learning in the spectral domain.☆48Jan 31, 2024Updated 2 years ago
- Repository for the paper "Interpreting Temporal Graph Neural Networks with Koopman Theory"☆12Apr 7, 2026Updated 5 months ago
- Website for the book "The Elements of Differentiable Programming".☆15Jul 2, 2025Updated last year
- ☆13Mar 11, 2025Updated last year
- Generative Learning for Forecasting the Dynamics of High Dimensional Complex Systems☆43Mar 10, 2025Updated last year
- A GNN-based PDE solver without pre-computed data☆44Jun 11, 2025Updated last year
- ☆18Jul 28, 2022Updated 4 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Library for computing the Finite-time Lyapunov Exponents of 2D flows using xarray☆10Apr 25, 2022Updated 4 years ago
- Implementation of various equivariant models in JAX☆18Apr 12, 2024Updated 2 years ago
- Approximate dynamic programming (ADP) and Policy gradient (PG) based sequential optimal experimental design (sOED)☆22Jun 26, 2022Updated 4 years ago
- ☆11Mar 31, 2021Updated 5 years ago
- Optimal Control with PDEs solved by a Differentiable Solver☆15Aug 21, 2024Updated 2 years ago
- ☆311Sep 14, 2024Updated last year
- Fractional White Noises for Neural Stochastic Differential Equations (NeurIPS 2022)☆16Nov 17, 2022Updated 3 years ago