vdutor / SphericalHarmonics
Zonal Spherical Harmonics in d Dimensions in TensorFlow, PyTorch and Jax
☆29Updated 11 months ago
Alternatives and similar repositories for SphericalHarmonics:
Users that are interested in SphericalHarmonics are comparing it to the libraries listed below
- Matrix-free linear algebra in JAX.☆117Updated 3 months ago
- A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch☆107Updated last month
- Tutorial materials of the Probabilistic Numerics Spring School.☆34Updated last year
- Stochastic Normalizing Flows☆76Updated 3 years ago
- Code for the Paper "Physics-Informed Gaussian Process Regression Generalizes Linear PDE Solvers"☆25Updated last year
- Code repository of the paper "Clifford-Steerable Convolutional Neural Networks"☆47Updated 8 months ago
- JAX-SPH: A Differentiable Smoothed Particle Hydrodynamics Framework☆61Updated 3 months ago
- Probabilistic solvers for differential equations in JAX. Adaptive ODE solvers with calibration, state-space model factorisations, and cus…☆46Updated 3 weeks ago
- code for "Neural Conservation Laws A Divergence-Free Perspective".☆37Updated 2 years ago
- A generic interface for linear algebra backends☆73Updated last month
- Convolutional Differential Operators for Physics-based Deep Learning Study☆24Updated 8 months ago
- Erwin: A Tree-based Hierarchical Transformer for Large-scale Physical Systems☆45Updated last week
- Flow Annealed Importance Sampling Bootstrap (FAB). ICLR 2023.☆57Updated last year
- JAX exponential map normalising flows on sphere☆17Updated 4 years ago
- Bayesian algorithm execution (BAX)☆49Updated 3 years ago
- Code for Gaussian Score Matching Variational Inference☆33Updated 2 months ago
- Free-form flows are a generative model training a pair of neural networks via maximum likelihood☆44Updated 3 months ago
- A software package for flexible HPC GPs☆16Updated last week
- Flow Annealed Importance Sampling Bootstrap (FAB) with JAX.☆11Updated 10 months ago
- Wraps PyTorch code in a JIT-compatible way for JAX. Supports automatically defining gradients for reverse-mode AutoDiff.☆51Updated 2 weeks ago
- Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"☆49Updated last year
- Implementation of Action Matching☆41Updated last year
- A minimal implementation of Equivariant Neural Fields (https://arxiv.org/abs/2406.05753).☆23Updated 2 months ago
- Public code for running Stochastic Gradient Descent on GPs.☆38Updated this week
- My code repo for random-walks.org☆9Updated this week
- Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling☆36Updated 3 years ago
- Code for efficiently sampling functions from GP(flow) posteriors☆72Updated 4 years ago
- Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations wi…☆69Updated 11 months ago
- Efficient SDE samplers including Gaussian-based probabilistic solvers. Written in JAX.☆10Updated 2 months ago
- ☆52Updated 2 years ago