Alternatives and similar repositories for interactive-gp-visualization:

Users that are interested in interactive-gp-visualization are comparing it to the libraries listed below

• distillpub / post--visual-exploration-gaussian-processes
  A Visual Exploration of Gaussian Processes
  ☆102Updated 2 years ago
• AaltoML / BayesNewton
  Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.
  ☆231Updated last year
• probabilistic-numerics / probnum
  Probabilistic Numerics in Python.
  ☆448Updated last year
• wesselb / stheno
  Gaussian process modelling in Python
  ☆223Updated 4 months ago
• duvenaud / phd-thesis
  I am in [research] stepped in so far that, should I wade no more, Returning were as tedious as go o'er. -MacBeth
  ☆184Updated 10 years ago
• fonnesbeck / gp_regression
  A Primer on Gaussian Processes for Regression Analysis (PyData NYC 2019)
  ☆165Updated 3 years ago
• secondmind-labs / GPflux
  Deep GPs built on top of TensorFlow/Keras and GPflow
  ☆125Updated 6 months ago
• secondmind-labs / trieste
  A Bayesian optimization toolbox built on TensorFlow
  ☆230Updated last week
• ColCarroll / minimc
  Just a little MCMC
  ☆226Updated 10 months ago
• AaltoML / kalman-jax
  Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX
  ☆99Updated last year
• fehiepsi / rethinking-pyro
  Statistical Rethinking with PyTorch and Pyro
  ☆163Updated this week
• JaxGaussianProcesses / GPJax
  Gaussian processes in JAX and Flax.
  ☆507Updated 3 weeks ago
• dimenwarper / awesome-bayes
  List of resources for bayesian inference
  ☆154Updated 5 years ago
• fehiepsi / rethinking-numpyro
  Statistical Rethinking (2nd ed.) with NumPyro
  ☆457Updated this week
• RaulPL / awesome-gaussian-processes
  A curated list of resources for learning Gaussian Processes
  ☆39Updated 3 years ago
• chi-feng / gp-demo
  Gaussian Process Regression Interactive Javascript Demo
  ☆55Updated 6 years ago
• bob-carpenter / ad-handbook
  Automatic Differentiation Handbook
  ☆147Updated 4 years ago
• EEA-sensors / Bayesian-Filtering-and-Smoothing
  Companion Matlab and Python codes for the book Bayesian Filtering and Smoothing by Simo Särkkä and Lennart Svensson
  ☆69Updated last year
• aterenin / phdthesis
  Gaussian Processes and Statistical Decision-making in Non-Euclidean Spaces
  ☆198Updated 3 years ago
• JonathanWenger / itergp
  IterGP: Computation-Aware Gaussian Process Inference (NeurIPS 2022)
  ☆41Updated 2 years ago
• probml / sts-jax
  Structural Time Series in JAX
  ☆190Updated last year
• GAMES-UChile / mogptk
  Multi-Output Gaussian Process Toolkit
  ☆173Updated last year
• openopt / copt
  A Python library for mathematical optimization
  ☆140Updated 7 months ago
• dfm / tinygp
  The tiniest of Gaussian Process libraries
  ☆307Updated this week
• sailinglab / pgm-spring-2019
  Course webpage for PGM, Spring 2019.
  ☆76Updated 4 years ago
• nchopin / particles
  Sequential Monte Carlo in python
  ☆444Updated 2 months ago
• wangronin / Bayesian-Optimization
  Bayesian Optimization algorithms with various recent improvements
  ☆99Updated last year
• mitmath / 18S096SciML
  18.S096 - Applications of Scientific Machine Learning
  ☆312Updated 3 years ago
• matt-graham / mici
  Manifold Markov chain Monte Carlo methods in Python
  ☆230Updated 2 weeks ago
• dfm / gp
  A tutorial about Gaussian process regression
  ☆188Updated 4 years ago