Collapsed Variational Bayes
☆72Sep 27, 2019Updated 6 years ago
Alternatives and similar repositories for GPclust
Users that are interested in GPclust are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Non-parametric Bayesian in Python, including Indian buffet process (IBP), hierarchical Dirichlet process (HDP).☆73Sep 25, 2015Updated 10 years ago
- Deep universal probabilistic programming with Python and PyTorch☆12Apr 1, 2020Updated 6 years ago
- Clustering time series using Gaussian processes and Variational Bayes.☆39May 6, 2020Updated 6 years ago
- ☆11Mar 9, 2018Updated 8 years ago
- Run Nx2 Cross Validation for multiple binary classifiers in parallel with optional downsampling☆13Jan 27, 2015Updated 11 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Stochastic simulation of next-generation sequencing data from neutrally evolving tumors☆10Nov 9, 2016Updated 9 years ago
- Unsupervised feature learning based on sparse-filtering☆55Sep 14, 2014Updated 11 years ago
- Code for Deep Structured Mixtures of Gaussian Processes (DSMGPs)☆11Jan 27, 2022Updated 4 years ago
- ☆12Feb 7, 2017Updated 9 years ago
- ☆12May 12, 2025Updated last year
- ☆18Dec 31, 2018Updated 7 years ago
- Python library that implements ZPC: Zonotopic Data-Driven Predictive Control.☆12Sep 7, 2022Updated 3 years ago
- Efficient Dirichlet process clustering☆26Jun 22, 2013Updated 12 years ago
- Bayesian dessert for Lasagne☆83Jun 25, 2017Updated 8 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- ☆12May 7, 2015Updated 11 years ago
- Unifying probabilistic models for time-frequency analysis. Spectral Mixture Gaussian processes in state space form.☆19May 30, 2019Updated 6 years ago
- modular implementation of new algorithm☆13Jun 4, 2014Updated 11 years ago
- A simple MCMC framework for training Gaussian processes adding functionality to GPy.☆20Dec 4, 2014Updated 11 years ago
- pyGPs is a library containing an object-oriented python implementation for Gaussian Process (GP) regression and classification.☆217Feb 4, 2019Updated 7 years ago
- Code for "oi-VAE: Output Interpretable VAEs for Nonlinear Group Factor Analysis"☆27Feb 24, 2020Updated 6 years ago
- Bayesian model averaging of an objective function over a model class using advanced MCMC techniques.☆16Jan 9, 2015Updated 11 years ago
- Canonical Correlation Forest☆17Mar 13, 2022Updated 4 years ago
- Source for experiments in the Additive Gaussian process paper, as well as extensions relating to dropout.☆21Mar 10, 2014Updated 12 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Additional kernels that can be used with scikit-learn's Gaussian Process module☆84Jul 8, 2024Updated last year
- An R package for detecting Gene-by-Environment (GxE) interaction effects on the transcriptome using Allele Specific Expression quantified…☆22Oct 27, 2021Updated 4 years ago
- Hierarchical Gaussian process latent variable model.☆18May 19, 2021Updated 5 years ago
- Bayesian GPLVM in MATLAB and R☆78Jun 16, 2017Updated 8 years ago
- Collection of probabilistic models and inference algorithms☆240Apr 3, 2020Updated 6 years ago
- Variational Bayesian Mixture of Factor Analysers☆24Jan 24, 2015Updated 11 years ago
- ☆24Mar 4, 2026Updated 2 months ago
- Source code for Naesseth et. al. "Reparameterization Gradients through Acceptance-Rejection Sampling Algorithms" (2017)☆38Apr 25, 2017Updated 9 years ago
- Categorical Latent Gaussian Process☆16Mar 7, 2015Updated 11 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Variational Gaussian Process State-Space Models☆25Nov 10, 2015Updated 10 years ago
- Automatic Discovery of the Statistical Types of Variables in a Dataset☆24May 3, 2018Updated 8 years ago
- Python implementation for Variational Bayesian Learning☆13Jan 23, 2014Updated 12 years ago
- Python module to train GMMs using CUDA☆21Mar 7, 2018Updated 8 years ago
- Embedding Complexity In the Data Representation Instead of In the Model (arXiv:1802.04233)☆24Feb 14, 2018Updated 8 years ago
- Score an Affinity Purification Mass Spectrometry Proteomics Experiment for Interactor Confidence☆11Jun 24, 2015Updated 10 years ago
- PaNeV: an R package for a pathway-based network visualization☆10Aug 25, 2025Updated 8 months ago