cunni / epmgpLinks
expectation propagation for multivariate gaussian probabilities
☆19Updated 10 years ago
Alternatives and similar repositories for epmgp
Users that are interested in epmgp are comparing it to the libraries listed below
Sorting:
- Code for NIPS 2015 "Gradient-Free Hamiltonian Monte Carlo via Effecient Kernel Exponential Families"☆26Updated 7 years ago
- local non-uniformity correction for mutual information estimation☆71Updated 4 years ago
- TensorFlow implementation for training MCMC samplers from the paper: Generalizing Hamiltonian Monte Carlo with Neural Network☆183Updated 7 years ago
- Code for density estimation with nonparametric cluster shapes.☆39Updated 9 years ago
- Kernel structure discovery research code - likely to be unstable☆195Updated 10 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
- Additional kernels that can be used with scikit-learn's Gaussian Process module☆83Updated last year
- A suite of stochastic optimization methods for solving the empirical risk minimization problem.☆17Updated 6 years ago
- Proximal optimization in pure python☆117Updated 3 years ago
- Look Ahead Hamiltonian Monte Carlo☆30Updated 10 years ago
- ☆40Updated 6 years ago
- Various estimators of the infinite dimensional exponential family model☆16Updated 8 years ago
- Proximal algorithms made easy in Python☆59Updated 8 years ago
- Fast C code for sampling Polya-gamma random variates. Builds on Jesse Windle's BayesLogit library.☆84Updated 5 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆65Updated 6 years ago
- Implementation of an algorithm for Markov chain Monte Carlo with data subsampling☆32Updated 9 years ago
- Manifold Markov chain Monte Carlo methods in Python☆237Updated last week
- Implementation of the Gaussian Process Autoregressive Regression Model☆68Updated 11 months ago
- ☆243Updated 8 years ago
- First-order optimization tools☆25Updated 2 years ago
- Convolutional Gaussian processes based on GPflow.☆95Updated 8 years ago
- code for the paper "Stein Variational Gradient Descent (SVGD): A General Purpose Bayesian Inference Algorithm"☆410Updated last year
- A community repository for benchmarking Bayesian methods☆112Updated 4 years ago
- Deep Gaussian Processes in matlab☆93Updated 4 years ago
- Code for Kernel Adaptive Metropolis-Hastings☆33Updated 10 years ago
- Experiment code for Stochastic Gradient Hamiltonian Monte Carlo☆109Updated 7 years ago
- Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.☆251Updated last year
- some tools for gaussian linear dynamical systems☆90Updated 7 years ago
- ELFI - Engine for Likelihood-Free Inference☆279Updated 7 months ago
- Deep Gaussian Processes with Doubly Stochastic Variational Inference☆151Updated 6 years ago