lbl-camera / fvGP
A software package for flexible HPC GPs
☆14Updated 2 weeks ago
Alternatives and similar repositories for fvGP:
Users that are interested in fvGP are comparing it to the libraries listed below
- Efficient Differentiable n-d PDE solvers in JAX.☆21Updated last month
- Stiff Neural Ordinary Differential Equations☆31Updated last year
- Forward mode laplacian implemented in JAX tracer☆29Updated last month
- Code for the paper "Randomly pivoted Cholesky: Practical approximation of a kernel matrix with few entry evaluations"☆27Updated 2 months ago
- Python Library for Generalized Gaussian Process Modeling☆20Updated 4 months ago
- Differentiable interface to FEniCS for JAX☆51Updated 3 years ago
- The code enables to perform Bayesian inference in an efficient manner through the use of Hamiltonian Neural Networks (HNNs), Deep Neural …☆13Updated last year
- Simulation-Enabled Prediction, Inference, and Analysis: physics-informed statistical learning.☆33Updated last year
- Code for "Nonlinear stochastic modeling with Langevin regression" J. L. Callaham, J.-C. Loiseau, G. Rigas, and S. L. Brunton☆25Updated 2 years ago
- An integrated demo: Gaussian processes for PDEs and inverse problems☆13Updated 6 months ago
- ☆26Updated 3 years ago
- ☆31Updated 4 months ago
- Code to accompany the paper "Discovery of Physics from Data: Universal Laws and Discrepancies"☆24Updated 4 years ago
- Matrix-free linear algebra in JAX.☆110Updated 3 months ago
- Fast interpolative decompositions in Python☆10Updated 3 years ago
- Code for the Paper "Physics-Informed Gaussian Process Regression Generalizes Linear PDE Solvers"☆21Updated 7 months ago
- Repository for Deterministic Particle Flow Control framework☆10Updated 2 years ago
- Fast Bayesian optimization, quadrature, inference over arbitrary domain with GPU parallel acceleration☆22Updated 2 months ago
- Implementation of Forward Laplacian algorithm in JAX☆55Updated last week
- Python-based Derivative-Free Optimizer for Least-Squares☆41Updated last month
- Code for the paper "Algorithmic Differentiation for Automatized Modelling of Machine Learned Force Fields"☆12Updated last year
- Differentiable interface to FEniCS/Firedrake for JAX using dolfin-adjoint/pyadjoint☆91Updated last year
- Probabilistic ODE solvers are fun, but are they fast? See also: https://github.com/pnkraemer/probdiffeq for JAX code or https://github.c…☆20Updated 4 months ago
- Code for the paper "Variational Monte Carlo Approach to Partial Differential Equations with Neural Networks" (https://arxiv.org/abs/2206.…☆9Updated 2 years ago
- A Python toolkit for coordinating asynchronous and dynamic ensembles of calculations.☆64Updated this week
- Turning SymPy expressions into JAX functions☆42Updated 3 years ago
- Scaling RLLib for generic simulation environments on Theta☆21Updated last year
- Pytorch implement of the paper Neural Canonical Transformation with Symplectic Flows☆29Updated 4 years ago
- kramersmoyal: Kramers-Moyal coefficients for stochastic data of any dimension, to any desired order☆68Updated 11 months ago