st-- / interactive-gp-visualizationLinks
Interactive visualization of Gaussian processes
☆172Updated 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.☆240Updated last year
- Gaussian process modelling in Python☆224Updated 10 months ago
- Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX☆102Updated 2 years ago
- Automatic Differentiation Handbook☆150Updated 5 years ago
- Probabilistic Numerics in Python.☆459Updated 3 months ago
- a visual dictionary of Bayesian Networks and Causal Inference.☆84Updated last month
- Course webpage for PGM, Spring 2019.☆76Updated 4 years ago
- Companion Matlab and Python codes for the book Bayesian Filtering and Smoothing by Simo Särkkä and Lennart Svensson☆78Updated last year
- Jupyter notebooks associated with the Algorithms for Optimization textbook☆477Updated 3 years ago
- Statistical Rethinking with PyTorch and Pyro☆164Updated 5 months ago
- Gaussian Processes and Statistical Decision-making in Non-Euclidean Spaces☆199Updated 3 years ago
- List of resources for bayesian inference☆157Updated 6 years ago
- Bayesian Filtering & Smoothing demos☆19Updated 5 years ago
- A Primer on Gaussian Processes for Regression Analysis (PyData NYC 2019)☆165Updated 4 years ago
- A curated list of resources for learning Gaussian Processes☆41Updated 4 years ago
- Particle filtering and sequential parameter inference in Python☆83Updated 2 years ago
- Probabilistic Inference on Noisy Time Series☆239Updated last month
- Example codes for the book Applied Stochastic Differential Equations☆198Updated this week
- Structural Time Series in JAX☆200Updated last year
- ABCpy package☆116Updated last year
- Code repo for "Kernel Interpolation for Scalable Online Gaussian Processes"☆64Updated 4 years 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
- A Python library for mathematical optimization☆141Updated last year
- 18.S096 - Applications of Scientific Machine Learning☆311Updated 3 years ago
- Sequential Monte Carlo in python☆471Updated 2 weeks ago
- Just a little MCMC☆232Updated last year
- Python-based Derivative-Free Optimization with Bound Constraints☆89Updated 3 weeks ago
- ☆85Updated 4 years ago
- Companion webpage for the book "Bayesian Optimization" by Roman Garnett☆926Updated last year