AaltoML

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1. BayesNewton BayesNewton Public

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

   Python 243 31

2. SDE SDE Public

   Example codes for the book Applied Stochastic Differential Equations

   MATLAB 214 53

3. kalman-jax kalman-jax Public

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

   Jupyter Notebook 103 13

4. generative-inverse-heat-dissipation generative-inverse-heat-dissipation Public

   Code release for the paper Generative Modeling With Inverse Heat Dissipation

   Python 82 10

5. vio_benchmark vio_benchmark Public

   Tools for benchmarking different Visual-Inertial Odometry solutions

   Python 64 13

6. GP-MVS GP-MVS Public

   Multi-View Stereo by Temporal Nonparametric Fusion

   Python 62 6