st-- / interactive-gp-visualization
Interactive visualization of Gaussian processes
☆166Updated last year
Alternatives and similar repositories for interactive-gp-visualization:
Users that are interested in interactive-gp-visualization are comparing it to the libraries listed below
- Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.☆232Updated last year
- A Visual Exploration of Gaussian Processes☆102Updated 2 years ago
- Probabilistic Numerics in Python.☆448Updated 9 months ago
- Gaussian process modelling in Python☆222Updated 2 months ago
- Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX☆98Updated last year
- Deep GPs built on top of TensorFlow/Keras and GPflow☆124Updated 4 months ago
- Companion Matlab and Python codes for the book Bayesian Filtering and Smoothing by Simo Särkkä and Lennart Svensson☆68Updated last year
- Gaussian Process Regression Interactive Javascript Demo☆54Updated 6 years ago
- Structural Time Series in JAX☆187Updated 9 months ago
- Example codes for the book Applied Stochastic Differential Equations☆182Updated 3 years ago
- Scalable Gaussian Process Regression with Derivatives☆38Updated 6 years ago
- Just a little MCMC☆221Updated 7 months ago
- A Primer on Gaussian Processes for Regression Analysis (PyData NYC 2019)☆166Updated 3 years ago
- Statistical Rethinking (2nd ed.) with NumPyro☆450Updated last year
- List of resources for bayesian inference☆155Updated 5 years ago
- Statistical Rethinking with PyTorch and Pyro☆162Updated 5 years ago
- ☆30Updated 2 years ago
- Express & compile probabilistic programs for performant inference on CPU & GPU. Powered by JAX.☆328Updated 10 months ago
- A Python library for mathematical optimization☆136Updated 4 months ago
- Code repo for "Kernel Interpolation for Scalable Online Gaussian Processes"☆58Updated 3 years ago
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆100Updated last year
- I am in [research] stepped in so far that, should I wade no more, Returning were as tedious as go o'er. -MacBeth☆181Updated 10 years ago
- Recursive Bayesian Estimation (Sequential / Online Inference)☆58Updated 9 months ago
- Statistical Rethinking: A Bayesian Course Using Python and NumPyro☆90Updated 3 years ago
- Bayesian Filtering & Smoothing demos☆18Updated 5 years ago
- Oryx is a library for probabilistic programming and deep learning built on top of Jax.☆245Updated this week
- The tiniest of Gaussian Process libraries☆303Updated last week
- Zheng Zhao's doctoral dissertation from Aalto University☆35Updated 2 years ago
- BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.☆878Updated last week
- Geometric kernels on manifolds, meshes and graphs☆234Updated this week