trungngv / cogpLinks
Collaborative multi-output Gaussian processes
☆12Updated 11 years ago
Alternatives and similar repositories for cogp
Users that are interested in cogp are comparing it to the libraries listed below
Sorting:
- Deep Gaussian Processes in matlab☆93Updated 3 years ago
- Kernel structure discovery research code - likely to be unstable☆191Updated 10 years ago
- pyGPs is a library containing an object-oriented python implementation for Gaussian Process (GP) regression and classification.☆216Updated 6 years ago
- ☆238Updated 8 years ago
- Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models.☆43Updated 11 years ago
- Provides various extensions to the GPML toolbox for Gaussian process inference in MATLAB.☆33Updated 8 years ago
- Collection of jupyter notebooks for demonstrating software.☆168Updated 2 years ago
- Structured Inference Networks for Nonlinear State Space Models☆274Updated 7 years ago
- Multiple output Gaussian processes in MATLAB including the latent force model.☆51Updated 9 years ago
- Deep Gaussian Processes in Python☆234Updated 4 years ago
- Structurally efficient multi-output linearly coregionalized Gaussian Processes: it's tricky, tricky, tricky, tricky, tricky.☆38Updated 2 years ago
- GPstuff - Gaussian process models for Bayesian analysis☆175Updated 2 years ago
- some tools for gaussian linear dynamical systems☆89Updated 7 years ago
- Deep Gaussian Processes with Doubly Stochastic Variational Inference☆150Updated 6 years ago
- ☆562Updated 6 months ago
- Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.☆249Updated last year
- Implementation in C and Theano of the method Probabilistic Backpropagation for scalable Bayesian inference in deep neural networks.☆192Updated 6 years ago
- ☆96Updated 7 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☆185Updated 11 years ago
- Additional kernels that can be used with scikit-learn's Gaussian Process module☆82Updated last year
- Bayesian optimization in high-dimensions via random embedding.☆114Updated 12 years ago
- Code for density estimation with nonparametric cluster shapes.☆39Updated 9 years ago
- Multi-task Gaussian Process☆43Updated 10 years ago
- Python package for modular Bayesian optimization☆136Updated 4 years ago
- Variational Fourier Features☆86Updated 4 years ago
- Code for Mondrian Forests (for classification and regression)☆266Updated 9 years ago
- Relevance Vector Machine implementation using the scikit-learn API.☆238Updated 8 years ago
- Additive Gaussian Process Bandits - version 1.0☆27Updated 8 years ago
- Code for the paper 'Efficient Variational Inference for Gaussian Process Regression Networks'☆22Updated 11 years ago
- Code for the paper "A Theoretically Grounded Application of Dropout in Recurrent Neural Networks"☆378Updated 8 years ago