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:
- A library for dimensionality reduction on spatial-temporal PDE☆66Updated last year
- [Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled T…☆81Updated 3 months ago
- LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite☆65Updated 8 months ago
- Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed c…☆115Updated 3 years ago
- Bootcamp notebooks☆58Updated last month
- Spectral Neural Operator☆78Updated last year
- Code for paper "Multiple Physics Pretraining for Physical Surrogate Models☆172Updated 9 months ago
- A Python library for training neural ODEs.☆25Updated 7 months ago
- Pseudospectral Kolmogorov Flow Solver☆40Updated last year
- Datasets and code for results presented in the ProbConserv paper☆55Updated last year
- Code for the paper "Poseidon: Efficient Foundation Models for PDEs"☆152Updated 5 months ago
- An unofficial implementation of the Fourier Neural Operator in Flax☆18Updated last year
- A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations☆129Updated 11 months ago
- TorchFSM: Fourier Spectral Method with PyTorch☆48Updated last week
- JAX-SPH: A Differentiable Smoothed Particle Hydrodynamics Framework☆75Updated 7 months ago
- Efficient Differentiable n-d PDE solvers in JAX.☆47Updated 10 months ago
- Differentiable interface to FEniCS for JAX☆58Updated 4 years ago
- Learning Green's functions of partial differential equations with deep learning.☆71Updated last year
- ☆38Updated 2 years ago
- Convolutional Differential Operators for Physics-based Deep Learning Study☆25Updated last year
- ☆54Updated 2 years ago
- ☆269Updated last year
- Distributed Fourier Neural Operators☆30Updated 2 years ago
- Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"☆52Updated 2 years ago
- Differentiable interface to FEniCS/Firedrake for JAX using dolfin-adjoint/pyadjoint☆101Updated last year
- Applications of PINOs☆133Updated 2 years ago
- ☆17Updated 8 months ago
- Numerical integration in arbitrary dimensions on the GPU using PyTorch / TF / JAX☆207Updated last month
- Practicum on Supervised Learning in Function Spaces☆33Updated 3 years ago
- Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"☆39Updated 2 years ago