lbl-camera / fvGP
A software package for flexible HPC GPs
☆15Updated 2 weeks ago
Alternatives and similar repositories for fvGP:
Users that are interested in fvGP are comparing it to the libraries listed below
- Stiff Neural Ordinary Differential Equations☆32Updated last year
- Differentiable interface to FEniCS for JAX☆53Updated 3 years ago
- Python Library for Generalized Gaussian Process Modeling☆21Updated 8 months ago
- Python trust-region subproblem solvers for nonlinear optimization☆29Updated 7 months ago
- Code for the paper "Randomly pivoted Cholesky: Practical approximation of a kernel matrix with few entry evaluations"☆28Updated 5 months ago
- Efficient Differentiable n-d PDE solvers in JAX.☆25Updated 4 months ago
- Simulation-Enabled Prediction, Inference, and Analysis: physics-informed statistical learning.☆34Updated last year
- Code for the Paper "Physics-Informed Gaussian Process Regression Generalizes Linear PDE Solvers"☆24Updated 10 months ago
- Python-based Derivative-Free Optimizer for Least-Squares☆42Updated last month
- Public code for running Stochastic Gradient Descent on GPs.☆36Updated 4 months ago
- The code enables to perform Bayesian inference in an efficient manner through the use of Hamiltonian Neural Networks (HNNs), Deep Neural …☆14Updated 2 years ago
- H2 Matrix Package☆29Updated last year
- Zonal Spherical Harmonics in d Dimensions in TensorFlow, PyTorch and Jax☆28Updated 10 months ago
- Forward mode laplacian implemented in JAX tracer☆29Updated 2 weeks ago
- Differentiable interface to FEniCS/Firedrake for JAX using dolfin-adjoint/pyadjoint☆93Updated last year
- Code for the paper "Variational Monte Carlo Approach to Partial Differential Equations with Neural Networks" (https://arxiv.org/abs/2206.…☆10Updated 2 years ago
- A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations☆124Updated 6 months ago
- An integrated demo: Gaussian processes for PDEs and inverse problems☆13Updated 2 months ago
- Fast interpolative decompositions in Python☆10Updated 4 years ago
- Convolutional Differential Operators for Physics-based Deep Learning Study☆24Updated 7 months ago
- Turning SymPy expressions into JAX functions☆44Updated 4 years ago
- Probabilistic solvers for differential equations in JAX. Adaptive ODE solvers with calibration, state-space model factorisations, and cus…☆41Updated 2 weeks ago
- Fast extremal eigensolvers for PyTorch.☆17Updated 3 years ago
- Matrix-free linear algebra in JAX.☆116Updated 2 months ago
- Probabilistic ODE solvers are fun, but are they fast? See also: https://github.com/pnkraemer/probdiffeq for JAX code or https://github.c…☆20Updated 8 months ago
- AL4PDE: A Benchmark for Active Learning for Neural PDE Solvers☆19Updated 2 weeks ago
- ☆30Updated 2 years ago
- Tutorial materials of the Probabilistic Numerics Spring School.☆34Updated last year
- Learning Green's functions of partial differential equations with deep learning.☆65Updated last year
- Repository for Deterministic Particle Flow Control framework☆10Updated 2 years ago