PolymathicAI / walrusLinks
☆212Updated 2 months ago
Alternatives and similar repositories for walrus
Users that are interested in walrus are comparing it to the libraries listed below
Sorting:
- Foundation Model for Physics Simulations☆110Updated 6 months ago
- TorchFSM: Fourier Spectral Method with PyTorch☆53Updated last week
- Code for the paper Universal Physics Transformers☆149Updated 6 months ago
- Patched Attention for Nonlinear Dynamics☆167Updated last month
- Code for paper "Multiple Physics Pretraining for Physical Surrogate Models☆187Updated last year
- Official implementation of "Lost in Latent Space: An Empirical Study of Latent Diffusion Models for Physics Emulation"☆51Updated 3 months ago
- ☆181Updated last month
- Intuitive scientific computing with dimension types for Jax, PyTorch, TensorFlow & NumPy☆94Updated 2 weeks ago
- ☆107Updated 9 months ago
- ☆25Updated 2 years ago
- Codomain attention neural operator for single to multi-physics PDE adaptation.☆75Updated 7 months ago
- JAX-SPH: A Differentiable Smoothed Particle Hydrodynamics Framework☆77Updated 3 months ago
- [Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled T…☆96Updated 2 months ago
- [ICLR 2024] Neural Spectral Methods: Self-supervised learning in the spectral domain.☆48Updated 2 years ago
- Code for the paper "Poseidon: Efficient Foundation Models for PDEs"☆169Updated 9 months ago
- Pinneaple is an open-source Physics AI toolkit for Physics-Informed Neural Networks (PINNs), scientific ML, geometry processing, solvers,…☆92Updated last week
- From-scratch C++ and Python reimplementation of the Variational Moments Equilibrium Code (VMEC).☆204Updated 2 weeks ago
- Einstein Fields official implementation in JAX.☆69Updated 5 months ago
- A foundation model to learn multiple physical systems at once☆75Updated this week
- JAX-DIPS is a differentiable interfacial PDE solver.☆49Updated last year
- Official repo for BWLer: Barycentric Weight Layer☆29Updated 4 months ago
- Code for Lie Symmetries SSL paper☆23Updated last year
- A compact, high-performance finite element analysis engine built on JAX.☆64Updated last week
- Convolutional Differential Operators for Physics-based Deep Learning Study☆25Updated last year
- Reference implementation for the Hasegawa-Wakatani model of plasma turbulence inside nuclear fusion reactors in two dimensions☆30Updated last year
- ☆56Updated 8 months ago
- Code for "Manifold Diffusion Geometry: Curvature, Tangent Spaces, and Dimension"☆44Updated last year
- ☆18Updated last year
- ☆65Updated last month
- Official implementation of the paper "Neural Hamilton: Can A.I. Understand Hamiltonian Mechanics?"☆14Updated 3 weeks ago