st-- / interactive-gp-visualizationLinks
Interactive visualization of Gaussian processes
☆176Updated 2 years ago
Alternatives and similar repositories for interactive-gp-visualization
Users that are interested in interactive-gp-visualization are comparing it to the libraries listed below
Sorting:
- A Visual Exploration of Gaussian Processes☆106Updated 2 years ago
- Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.☆241Updated 2 years ago
- Gaussian process modelling in Python☆226Updated last year
- Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX☆102Updated 2 years ago
- Probabilistic Numerics in Python.☆456Updated 5 months ago
- Automatic Differentiation Handbook☆151Updated 5 years ago
- A Primer on Gaussian Processes for Regression Analysis (PyData NYC 2019)☆165Updated 4 years ago
- Course webpage for PGM, Spring 2019.☆76Updated 4 years ago
- Structural Time Series in JAX☆212Updated last year
- A curated list of resources for learning Gaussian Processes☆40Updated 4 years ago
- Recursive Bayesian Estimation (Sequential / Online Inference)☆60Updated last year
- Just a little MCMC☆234Updated last year
- List of resources for bayesian inference☆158Updated 6 years ago
- Companion Matlab and Python codes for the book Bayesian Filtering and Smoothing by Simo Särkkä and Lennart Svensson☆82Updated last year
- a visual dictionary of Bayesian Networks and Causal Inference.☆85Updated 2 months ago
- Code repo for "Kernel Interpolation for Scalable Online Gaussian Processes"☆64Updated 4 years ago
- ABCpy package☆116Updated last year
- Statistical Rethinking with PyTorch and Pyro☆166Updated 7 months ago
- Example codes for the book Applied Stochastic Differential Equations☆202Updated 2 months ago
- I am in [research] stepped in so far that, should I wade no more, Returning were as tedious as go o'er. -MacBeth☆188Updated 11 years ago
- Jupyter notebooks associated with the Algorithms for Optimization textbook☆506Updated 3 years ago
- Jax SSM Library☆48Updated 3 years ago
- Python-based Derivative-Free Optimization with Bound Constraints☆91Updated last week
- 18.S096 - Applications of Scientific Machine Learning☆312Updated 3 years ago
- A Python library for mathematical optimization☆141Updated last year
- A Python package for building Bayesian models with TensorFlow or PyTorch☆176Updated 3 years ago
- ☆30Updated 3 years ago
- Multi-Output Gaussian Process Toolkit☆182Updated 6 months ago
- Bayesian Filtering & Smoothing demos☆19Updated 6 years ago
- Statistical Rethinking: A Bayesian Course Using Python and NumPyro☆90Updated 4 years ago