plgreenLIRU / GMM_Conditional

Related projects: ⓘ

• spdes / chirpgp
  Chirp instantaneous frequency estimation using stochastic differential equation Gaussian processes
  ☆11Updated last year
• aterenin / SparseGaussianProcesses.jl
  A Julia implementation of sparse Gaussian processes via path-wise doubly stochastic variational inference.
  ☆33Updated 4 years ago
• sremes / nssm-gp
  Non-stationary spectral mixture kernels implemented in GPflow
  ☆27Updated 5 years ago
• secondmind-labs / markovflow
  A Tensorflow based library for Time Series Modelling with Gaussian Processes
  ☆28Updated 2 months ago
• probabilistic-numerics / probnum-spring-school
  Tutorial materials of the Probabilistic Numerics Spring School.
  ☆34Updated last year
• AdrienCorenflos / particle_mala
  Gradient-informed particle MCMC methods
  ☆11Updated 7 months ago
• aterenin / SparseGPAX
  An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.
  ☆22Updated 3 years ago
• amzn / orthogonal-additive-gaussian-processes
  Light-weighted code for Orthogonal Additive Gaussian Processes
  ☆37Updated last month
• martiningram / jax_advi
  ☆13Updated 3 years ago
• gatsby-sahani / gp-sde
  ☆12Updated last year
• pmorenoz / ContinualGP
  Continual Gaussian Processes
  ☆30Updated last year
• jeremiecoullon / SGMCMCJax
  Lightweight library of stochastic gradient MCMC algorithms written in JAX.
  ☆94Updated 10 months ago
• cagatayyildiz / npde
  Nonparametric Differential Equation Modeling
  ☆50Updated 6 months ago
• tgcsaba / GPSig
  Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances
  ☆44Updated last year
• PredictiveIntelligenceLab / GP-NODEs
  ☆27Updated last year
• sremes / nonstationary-spectral-kernels
  Implementation for Non-stationary Spectral Kernels (NIPS 2017)
  ☆20Updated 4 years ago
• sbi-dev / pyknos
  Conditional density estimation with neural networks
  ☆25Updated 3 weeks ago
• EEA-sensors / sqrt-parallel-smoothers
  A generic library for linear and non-linear Gaussian smoothing problems. The code leverages JAX and implements several linearization algo…
  ☆12Updated 2 months ago
• AaltoML / scalable-inference-in-sdes
  Methods and experiments for assumed density SDE approximations
  ☆11Updated 2 years ago
• jamesvuc / jax-bayes
  Bayesian inference with Python and Jax.
  ☆31Updated last year
• j-wilson / GPflowSampling
  Code for efficiently sampling functions from GP(flow) posteriors
  ☆65Updated 3 years ago
• bob-carpenter / adaptive-hmc
  Self-tuning HMC algorithms and evaluations
  ☆18Updated 3 weeks ago
• wesselb / gpar
  Implementation of the Gaussian Process Autoregressive Regression Model
  ☆59Updated 3 years ago
• trappmartin / DeepStructuredMixtures
  Code for Deep Structured Mixtures of Gaussian Processes (DSMGPs)
  ☆11Updated 2 years ago
• pnkraemer / tornadox
  Probabilistic ODE solvers are fun, but are they fast? See also: https://github.com/pnkraemer/probdiffeq for JAX code or https://github.c…
  ☆20Updated 2 months ago
• wjmaddox / spectralgp
  Code repo for "Function-Space Distributions over Kernels"
  ☆31Updated 3 years ago
• wesselb / lab
  A generic interface for linear algebra backends
  ☆68Updated 2 months ago
• anh-tong / signax
  Signax: Signature computation in JAX
  ☆23Updated 3 weeks ago
• Tom-Ryder / VIforSDEs
  A variational method for fast, approximate inference for stochastic differential equations.
  ☆43Updated 6 years ago
• abhiagwl / vistan
  A simple library to run variational inference on Stan models.
  ☆18Updated last year