tum-pbs / PhiMLLinks
Intuitive scientific computing with dimension types for Jax, PyTorch, TensorFlow & NumPy
☆90Updated last week
Alternatives and similar repositories for PhiML
Users that are interested in PhiML are comparing it to the libraries listed below
Sorting:
- [Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled T…☆76Updated last month
- TorchFSM: Fourier Spectral Method with PyTorch☆44Updated last week
- A library for dimensionality reduction on spatial-temporal PDE☆66Updated last year
- Bootcamp notebooks☆55Updated last year
- Code for the paper "Poseidon: Efficient Foundation Models for PDEs"☆145Updated 3 months ago
- A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations☆128Updated 9 months ago
- Spectral Neural Operator☆79Updated last year
- JAX-SPH: A Differentiable Smoothed Particle Hydrodynamics Framework☆69Updated 5 months ago
- Pseudospectral Kolmogorov Flow Solver☆40Updated last year
- ☆264Updated 10 months ago
- Code for paper "Multiple Physics Pretraining for Physical Surrogate Models☆164Updated 7 months ago
- Convolutional Differential Operators for Physics-based Deep Learning Study☆25Updated 11 months ago
- LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite☆63Updated 6 months ago
- Efficient Differentiable n-d PDE solvers in JAX.☆45Updated 8 months ago
- Datasets and code for results presented in the ProbConserv paper☆53Updated last year
- Code for the paper Universal Physics Transformers☆118Updated 2 weeks ago
- [ICLR 2024] Neural Spectral Methods: Self-supervised learning in the spectral domain.☆45Updated last year
- Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed c…☆114Updated 3 years ago
- Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"☆52Updated 2 years ago
- A Python library for training neural ODEs.☆25Updated 5 months ago
- An unofficial implementation of the Fourier Neural Operator in Flax☆17Updated last year
- Differentiable interface to FEniCS/Firedrake for JAX using dolfin-adjoint/pyadjoint☆97Updated last year
- ☆38Updated last year
- Datasets and code for results presented in the BOON paper☆44Updated 2 years ago
- Kolmogorov-Arnold Networks built on JAX☆82Updated 3 months ago
- Official implementation of the AIAA Journal paper "Uncertainty-aware Surrogate Models for Airfoil Flow Simulations with Denoising Diffusi…☆69Updated 8 months ago
- Introduction to JAX Workshop @ ETH Zurich, 25 June 2024☆36Updated 3 months ago
- Differentiable interface to FEniCS for JAX☆54Updated 4 years ago
- Learning Green's functions of partial differential equations with deep learning.☆71Updated last year
- Distributed Fourier Neural Operators☆30Updated 2 years ago