☆23Mar 12, 2018Updated 8 years ago
Alternatives and similar repositories for decoupled_gaussian_process
Users that are interested in decoupled_gaussian_process are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- a repository containing everything relevant to our fast non-negative deconvolution work☆35Nov 28, 2016Updated 9 years ago
- Streaming sparse Gaussian process approximations☆69Oct 5, 2022Updated 3 years ago
- Variational Bayesian GP-LVM model in MATLAB.☆12Jun 8, 2015Updated 10 years ago
- Code for Augment & Reduce, a scalable stochastic algorithm for large categorical distributions☆10May 16, 2018Updated 8 years ago
- ☆11Jun 17, 2016Updated 9 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- A library of scalable Bayesian generalised linear models with fancy features☆60Sep 7, 2017Updated 8 years ago
- Reducing Reparameterization Gradient Variance code.☆33Jun 5, 2017Updated 8 years ago
- pyTorch variational autoencoder, with explainations☆11May 31, 2017Updated 8 years ago
- Demonstration of Jackknife Variational Inference for Variational Autoencoders, related to ICLR 2018 paper.☆22Feb 21, 2018Updated 8 years ago
- Randomized Linear Algebra in Python☆13Mar 21, 2017Updated 9 years ago
- Online LDA using Hoffman's Python Implementation☆15Nov 14, 2014Updated 11 years ago
- simple MATLAB code for randomized matrix computation☆23Nov 13, 2015Updated 10 years ago
- Material for AMLD 2020 workshop "Bayesian Inference: embracing uncertainty"☆30May 11, 2022Updated 4 years ago
- Deep GPs with GPy☆31May 18, 2016Updated 10 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- (Theano) Implementations about deep neural network, recurrent neural network, LSTM, and structured learining.☆10Nov 9, 2016Updated 9 years ago
- Dirichlet Process Mixture Model sampling-based inference algorithms☆14Apr 4, 2017Updated 9 years ago
- Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)☆42Oct 5, 2021Updated 4 years ago
- ☆11Apr 23, 2024Updated 2 years ago
- Python implementation for Variational Bayesian Learning☆13Jan 23, 2014Updated 12 years ago
- On Uncertainty, Tempering, and Data Augmentation in Bayesian Classification☆21Apr 1, 2022Updated 4 years ago
- ☆14Sep 23, 2024Updated last year
- Code for paper "A-Velocity-quasiLPV-MPC-Algorithm-for-Wind-Turbine-Control"☆18May 19, 2021Updated 5 years ago
- Batched High-dimensional Bayesian Optimization via Structural Kernel Learning☆15Dec 30, 2018Updated 7 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- Preconditioning Kernel Matrices☆15Jun 9, 2016Updated 9 years ago
- We got a stew going!☆27Oct 3, 2023Updated 2 years ago
- Infinite Gaussian Mixture Model / Variational EM☆12Nov 18, 2013Updated 12 years ago
- code supplement for variational boosting (https://arxiv.org/abs/1611.06585)☆11Jul 24, 2017Updated 8 years ago
- code for stochastic expectation propagation☆16Oct 30, 2015Updated 10 years ago
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆42Nov 29, 2022Updated 3 years ago
- code for "Efficient Optimization for Sparse Gaussian Process Regression"☆21Nov 15, 2013Updated 12 years ago
- A collection of Black Box Variational Inference algorithms implemented in an object-oriented Python framework using Autograd.☆11Sep 7, 2018Updated 7 years ago
- Stochastic variational heteroscedastic Gaussian process☆15Mar 29, 2019Updated 7 years ago
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- Port-Hamiltonian Approach to Neural Network Training☆27Dec 11, 2019Updated 6 years ago
- Categorical Latent Gaussian Process☆16Mar 7, 2015Updated 11 years ago
- Napari plugin for custom analysis and visualization of lattice lightsheet and Oblique Plane Microscopy data. The plugin is optimized for …☆14Apr 13, 2026Updated last month
- Hierarchical Gaussian process latent variable model.☆18May 19, 2021Updated 5 years ago
- System identification in PyTorch☆27Mar 31, 2023Updated 3 years ago
- Filters two unreliable pose streams into one, more reliable pose stream. Based on motion model of a spherical robot, i.e., the sensors ar…☆11Jul 25, 2024Updated last year
- Dynamic Time Warping algorithm for the Physionet Challenge 2016☆17Nov 10, 2016Updated 9 years ago