distillpub / post--visual-exploration-gaussian-processesLinks
A Visual Exploration of Gaussian Processes
☆106Updated 2 years ago
Alternatives and similar repositories for post--visual-exploration-gaussian-processes
Users that are interested in post--visual-exploration-gaussian-processes are comparing it to the libraries listed below
Sorting:
- Interactive visualization of Gaussian processes☆172Updated 2 years ago
- ABCpy package☆116Updated last year
- A Python toolkit for (simulation-based) inference and the mechanization of science.☆53Updated 3 years ago
- Jax SSM Library☆48Updated 2 years ago
- Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX☆102Updated 2 years ago
- http://cranmer.github.io/stats-ds-book☆73Updated 4 years ago
- Image Markov Chain Monte Carlo☆244Updated 3 years ago
- Example Distill article repository—clone, rename, start writing!☆72Updated 2 years ago
- Manifold Markov chain Monte Carlo methods in Python☆234Updated last month
- ELFI - Engine for Likelihood-Free Inference☆276Updated 5 months ago
- Simulation based calibration and generation of synthetic data.☆56Updated 3 weeks 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
- Loopy belief propagation for factor graphs on discrete variables, in JAX!☆65Updated last year
- Bayesian Regression Models in Pyro☆73Updated last year
- A Python library for mathematical optimization☆141Updated last year
- Just a little MCMC☆232Updated last year
- Inference case studies in jupyter☆93Updated 7 years ago
- OxCSML research group reading groups and meetings at the Department of Statistics, University of Oxford.☆93Updated 3 years ago
- Gaussian process regression demo in Javascript☆36Updated 8 years ago
- List of resources for bayesian inference☆157Updated 6 years ago
- Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.☆239Updated last year
- Open Data Science☆33Updated 10 months ago
- An interactive visualization tool that transforms probabilistic programming models into an "Interactive Probabilistic Models Explorer".☆24Updated last year
- Gaussian Processes and Statistical Decision-making in Non-Euclidean Spaces☆199Updated 3 years ago
- A curated list of resources for learning Gaussian Processes☆41Updated 4 years ago
- Automatic differentiation + optimization☆102Updated 6 years ago
- Gaussian Process and Uncertainty Quantification Summer School 2020☆33Updated 2 years ago
- Course webpage for PGM, Spring 2019.☆76Updated 4 years ago
- Agent models implemented with Pyro☆11Updated 2 years ago
- Low rank adaptation of covariance matrices for nuts sampling in pymc3☆15Updated 3 years ago