Alternatives and similar repositories for torch-harmonics:

Users that are interested in torch-harmonics are comparing it to the libraries listed below

• martenlienen / torchode
  A parallel ODE solver for PyTorch
  ☆255Updated 7 months ago
• google-research / spherical-cnn
  ☆115Updated 5 months ago
• pdearena / pdearena
  ☆256Updated 7 months ago
• NVIDIA / modulus-makani
  Massively parallel training of machine-learning based weather and climate models
  ☆248Updated 4 months ago
• esa / torchquad
  Numerical integration in arbitrary dimensions on the GPU using PyTorch / TF / JAX
  ☆203Updated 5 months ago
• ml-jku / UPT
  Code for the paper Universal Physics Transformers
  ☆111Updated 2 months ago
• jhhuangchloe / DiffusionPDE
  Official implementation of NeurIPS 2024 paper "DiffusionPDE: Generative PDE-Solving Under Partial Observation"
  ☆124Updated last week
• camlab-ethz / poseidon
  Code for the paper "Poseidon: Efficient Foundation Models for PDEs"
  ☆139Updated last month
• rfeinman / pytorch-minimize
  Newton and Quasi-Newton optimization with PyTorch
  ☆346Updated last year
• probabilists / zuko
  Normalizing flows in PyTorch
  ☆380Updated 3 weeks ago
• astro-informatics / s2fft
  S2FFT: Differentiable and accelerated spherical transforms
  ☆150Updated this week
• brandstetter-johannes / MP-Neural-PDE-Solvers
  Repo to the paper "Message Passing Neural PDE Solvers"
  ☆132Updated 7 months ago
• patrick-kidger / torchcubicspline
  Interpolating natural cubic splines. Includes batching, GPU support, support for missing values, evaluating derivatives of the spline, an…
  ☆250Updated 2 years ago
• neuraloperator / CoDA-NO
  Codomain attention neural operator for single to multi-physics PDE adaptation.
  ☆59Updated last month
• facebookresearch / riemannian-fm
  code for "Riemannian Flow Matching on General Geometries".
  ☆224Updated last year
• PolymathicAI / multiple_physics_pretraining
  Code for paper "Multiple Physics Pretraining for Physical Surrogate Models
  ☆162Updated 5 months ago
• david-knigge / enf-min-jax
  A minimal implementation of Equivariant Neural Fields (https://arxiv.org/abs/2406.05753).
  ☆23Updated 3 months ago
• martenlienen / finite-element-networks
  Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations wi…
  ☆69Updated 11 months ago
• tum-pbs / PhiML
  Intuitive scientific computing with dimension types for Jax, PyTorch, TensorFlow & NumPy
  ☆86Updated this week
• xitorch / xitorch
  Differentiable scientific computing library
  ☆150Updated 8 months ago
• microsoft / cliffordlayers
  ☆152Updated last year
• boschresearch / torchphysics
  ☆435Updated 4 months ago
• tumaer / jax-sph
  JAX-SPH: A Differentiable Smoothed Particle Hydrodynamics Framework
  ☆63Updated 3 months ago
• tum-pbs / autoreg-pde-diffusion
  Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation
  ☆84Updated 4 months ago
• neuraloperator / Geo-FNO
  Geometry-Aware Fourier Neural Operator (Geo-FNO)
  ☆252Updated 2 years ago
• neuraloperator / graph-pde
  Using graph network to solve PDEs
  ☆386Updated last year
• tum-pbs / apebench
  [Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled T…
  ☆69Updated 5 months ago
• CCSI-Toolset / MGN
  MeshGraphNets (MGN)
  ☆62Updated last year
• Autodesk / XLB
  XLB: Accelerated Lattice Boltzmann (XLB) for Physics-based ML
  ☆348Updated this week
• QUVA-Lab / escnn
  Equivariant Steerable CNNs Library for Pytorch https://quva-lab.github.io/escnn/
  ☆427Updated 6 months ago