AaltoML

Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.

AaltoML

Example codes for the book Applied Stochastic Differential Equations

AaltoML

Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX

AaltoML

Multi-View Stereo by Temporal Nonparametric Fusion

AaltoML

Visual-Inertial Odometry (VIO) benchmark app for Android

AaltoML

Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features

AaltoML

Infinite-horizon Gaussian processes

AaltoML

SLAM module

AaltoML

Code for NeurIPS 2021 paper 'Spatio-Temporal Variational Gaussian Processes'

AaltoML

Tools for benchmarking different Visual-Inertial Odometry solutions

AaltoML