NicolasDurrande / Gaussian-Process-Regression-handoutLinks
☆40Updated 8 years ago
Alternatives and similar repositories for Gaussian-Process-Regression-handout
Users that are interested in Gaussian-Process-Regression-handout are comparing it to the libraries listed below
Sorting:
- Variational inference for Dirichlet process mixture models with multinomial mixture components.☆35Updated 11 years ago
- Deep Gaussian Processes in matlab☆93Updated 3 years ago
- The collection of papers about combining deep learning and Bayesian nonparametrics☆121Updated 5 years ago
- Collection of probabilistic models and inference algorithms☆241Updated 5 years ago
- a repo sharing Bayesian Neural Network recent papers☆216Updated 5 years ago
- Deep Gaussian Processes in Python☆234Updated 4 years ago
- Python code for Expectation-Maximization estimate of Gaussian mixture model☆75Updated 6 years ago
- Implementation of the Gaussian processes regression with inducing points for online data with ensemble Kalman filter estimation. Code for…☆17Updated 7 years ago
- Multiple output Gaussian processes in MATLAB including the latent force model.☆51Updated 9 years ago
- Bayesian Gaussian mixture models in Python.☆63Updated 2 years ago
- Deep Kernel Learning. Gaussian Process Regression where the input is a neural network mapping of x that maximizes the marginal likelihood☆93Updated 7 years ago
- Probabilistic graphical models in python☆24Updated 6 years ago
- MLSS2019 Tutorial on Bayesian Deep Learning☆93Updated 5 years ago
- Streaming sparse Gaussian process approximations☆67Updated 2 years ago
- Multi-Information Source Optimization☆24Updated 6 years ago
- Clean repo for tensor-train RNN implemented in TensorFlow☆69Updated 5 years ago
- Deep convolutional gaussian processes.☆80Updated 5 years ago
- Matlab code for my paper "Copula Variational Bayes inference via information geometry", submitted to IEEE Trans. on information theory, 2…☆54Updated 6 years ago
- Collection of Monte Carlo (MC) and Markov Chain Monte Carlo (MCMC) algorithms applied on simple examples.☆383Updated 7 years ago
- ☆29Updated 6 years ago
- Generic implementation of GP model☆8Updated 6 years ago
- multivariate Gaussian process regression and multivariate Student-t process regression☆76Updated 4 years ago
- Parametric Gaussian Process Regression for Big Data☆45Updated 5 years ago
- Deep Gaussian Processes with Doubly Stochastic Variational Inference☆150Updated 6 years ago
- see https://github.com/thangbui/geepee for a faster implementation☆37Updated 8 years ago
- Python implementation of the PR-SSM.☆51Updated 7 years ago
- Multi-task Gaussian Process☆43Updated 10 years ago
- Direct Gibbs sampling for DPMM using python.☆16Updated 8 years ago
- Sampling via Moment Sharing☆11Updated 10 years ago
- Parametric Gaussian Process Regression for Big Data (Matlab Version)☆24Updated 7 years ago