20 skills found
probabilistic-numerics / ProbnumProbabilistic Numerics in Python.
nathanaelbosch / ProbNumDiffEq.jlProbabilistic Numerical Differential Equation solvers via Bayesian filtering and smoothing
pnkraemer / ProbdiffeqProbabilistic solvers for differential equations in JAX. Adaptive ODE solvers with calibration, state-space model factorisations, and custom information operators. Compatible with the broader JAX scientific computing ecosystem.
JonathanWenger / ItergpIterGP: Computation-Aware Gaussian Process Inference (NeurIPS 2022)
philipphennig / Probabilistic Numerics.orgThis repository houses the code for the community website http://www.probabilistic-numerics.org
probabilistic-numerics / Probnum Spring SchoolTutorial materials of the Probabilistic Numerics Spring School.
marvinpfoertner / Linpde GpCode for the Paper "Physics-Informed Gaussian Process Regression Generalizes Linear PDE Solvers"
pnkraemer / TornadoxProbabilistic ODE solvers are fun, but are they fast? See also: https://github.com/pnkraemer/probdiffeq for JAX code or https://github.com/nathanaelbosch/ProbNumDiffEq.jl for Julia code.
nathanaelbosch / Fenrir.jlPhysics-Enhanced Regression for Initial Value Problems
marvinpfoertner / ComputationAwareKalman.jlComputation-Aware Kalman Filtering and RTS Smoothing
alan-turing-institute / Stat FemPython tools for solving data-constrained finite element problems
pnkraemer / ProbfindiffProbabilistic numerical finite differences. Compute finite difference weights and differentiation matrices on scattered data sites and with out-of-the-box uncertainty quantification.
ylefay / BayesianSDEsolverEfficient SDE samplers including Gaussian-based probabilistic solvers. Written in JAX.
ImperialCollegeLondon / BART IntBayesian Probabilistic Numerical Integration with Tree-Based Models (using Bayesian Additive Regression Trees)
marvinpfoertner / ComputationAwareKalmanExperiments.jlCode for the paper "Computation-Aware Kalman Filtering and Smoothing"
probabilistic-numerics / Probnum Gsoc2022Information and materials for Google Summer of Code participants developing for ProbNum.
probabilistic-numerics / Probnum EvaluationEvaluate the accuracy, efficiency, and uncertainty-calibration of probabilistic numerical algorithms.
berenslab / NeuroprobnumProbabilistic numerics for common neuroscience models.
AstroDnerd / BayesianEOSInferenceA probabilistic deep learning framework using Bayesian Neural Networks (TF-Probability) to infer high-dimensional physical parameters with quantified uncertainty, replacing computationally expensive numerical simulations.
JonathanWenger / Probabilistic Linear Solvers For MlProbabilistic Linear Solvers for Machine Learning (NeurIPS 2020)
