distillpub / post--visual-exploration-gaussian-processesLinks
A Visual Exploration of Gaussian Processes
☆102Updated 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☆169Updated 2 years ago
- ABCpy package☆114Updated last year
- Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX☆100Updated 2 years ago
- Loopy belief propagation for factor graphs on discrete variables, in JAX!☆65Updated 9 months ago
- Gaussian process regression demo in Javascript☆36Updated 7 years ago
- Open Data Science☆33Updated 7 months ago
- OxCSML research group reading groups and meetings at the Department of Statistics, University of Oxford.☆93Updated 3 years ago
- A Python toolkit for (simulation-based) inference and the mechanization of science.☆53Updated 3 years ago
- Agent models implemented with Pyro☆11Updated 2 years ago
- Gaussian Process and Uncertainty Quantification Summer School 2020☆33Updated 2 years ago
- Image Markov Chain Monte Carlo☆244Updated 3 years ago
- Composable kernels for scikit-learn implemented in JAX.☆43Updated 4 years ago
- Jax SSM Library☆49Updated 2 years ago
- Evaluation Framework for Probabilistic Programming Languages☆100Updated last year
- Automatic differentiation + optimization☆103Updated 6 years ago
- Example Distill article repository—clone, rename, start writing!☆69Updated 2 years ago
- Bayesian Regression Models in Pyro☆72Updated 11 months ago
- A curated list of resources for learning Gaussian Processes☆39Updated 3 years ago
- All things Monte Carlo, written in JAX.☆31Updated 2 years ago
- InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy☆148Updated 11 months ago
- A Python library for mathematical optimization☆141Updated 9 months ago
- Automatic Reparameterisation of Probabilistic Programs☆36Updated 5 years ago
- Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.☆233Updated last year
- Manifold Markov chain Monte Carlo methods in Python☆230Updated last month
- A toolbox for inference of mixture models☆16Updated 2 years ago
- http://cranmer.github.io/stats-ds-book☆73Updated 4 years ago
- Discontinuous Hamiltonian Monte Carlo in JAX☆41Updated 5 years ago
- Code repository for the generalized Galton board example in the paper "Mining gold from implicit models to improve likelihood-free infere…☆33Updated 5 years ago
- Gaussian Processes and Statistical Decision-making in Non-Euclidean Spaces☆199Updated 3 years ago
- Simulation based calibration and generation of synthetic data.☆55Updated 3 weeks ago