A collection of Gaussian process models
☆30Aug 17, 2017Updated 8 years ago
Alternatives and similar repositories for geepee
Users that are interested in geepee are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- End-to-End Probabilistic Inference for Nonstationary Audio Analysis☆12Aug 7, 2019Updated 6 years ago
- ☆39Apr 29, 2019Updated 7 years ago
- Unifying sparse approximations for Gaussian process regression and classification, using Power EP☆22Oct 17, 2016Updated 9 years ago
- ☆12Jun 5, 2015Updated 11 years ago
- PyTorch implementation of the Covariate-GPLVM☆26Mar 1, 2020Updated 6 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.
- ☆28Feb 15, 2019Updated 7 years ago
- Variational Fourier Features☆88Jun 16, 2021Updated 4 years ago
- Unifying probabilistic models for time-frequency analysis. Spectral Mixture Gaussian processes in state space form.☆19May 30, 2019Updated 7 years ago
- Deep Gaussian Processes in Python☆233May 4, 2021Updated 5 years ago
- A community repository for benchmarking Bayesian methods☆112Nov 29, 2021Updated 4 years ago
- Preconditioning Kernel Matrices☆15Jun 9, 2016Updated 10 years ago
- Dirichlet Process Mixture using PVI, SMC, Variational☆15Jun 20, 2014Updated 11 years ago
- Reference implementation of Thin and Deep Gaussian Processes (NeurIPS 2023)☆14Nov 25, 2024Updated last year
- Explore tips and tricks to deploy machine learning models with Docker.☆13Jul 6, 2023Updated 2 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Streaming sparse Gaussian process approximations☆70Oct 5, 2022Updated 3 years ago
- Implementaion of Gaussian Process Recurrent Neural Networks developed in "Neural Dynamics Discovery via Gaussian Process Recurrent Neura…☆40Dec 8, 2022Updated 3 years ago
- ☆11Dec 9, 2017Updated 8 years ago
- Deep Gaussian Processes in matlab☆93Sep 14, 2021Updated 4 years ago
- Infinite-horizon Gaussian processes☆33Sep 28, 2020Updated 5 years ago
- Code used in paper submitted to ICASSP 2019☆14Nov 22, 2018Updated 7 years ago
- Repo for a paper about constructing priors on very deep models.☆73Jul 8, 2016Updated 9 years ago
- Library for Deep Gaussian Processes based on GPflow☆18Mar 31, 2020Updated 6 years ago
- Code for Augment & Reduce, a scalable stochastic algorithm for large categorical distributions☆10May 16, 2018Updated 8 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.
- A Tensorflow based library for Time Series Modelling with Gaussian Processes☆31Apr 22, 2026Updated last month
- A declarative data science ecosystem.☆15May 19, 2020Updated 6 years ago
- A bare-bones TensorFlow framework for Bayesian deep learning and Gaussian process approximation☆128Jul 27, 2021Updated 4 years ago
- pyTorch variational autoencoder, with explainations☆11May 31, 2017Updated 9 years ago
- Released code for ICDM 2016 Budgeted Batch Bayesian Optimization☆10Feb 11, 2019Updated 7 years ago
- 🤿 Implementation of doubly stochastic deep Gaussian Process using GPflow and TensorFlow 2.0☆25Feb 11, 2024Updated 2 years ago
- Tensorflow implementation of Bayes-by-Backprop algorithm from "Weight uncertainty in neural networks" paper☆14Mar 6, 2019Updated 7 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
- 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.
- Tensorflow implementation for the SVGP-VAE model.☆22Jul 19, 2021Updated 4 years ago
- Deep GPs with GPy☆31May 18, 2016Updated 10 years ago
- (Theano) Implementations about deep neural network, recurrent neural network, LSTM, and structured learining.☆10Nov 9, 2016Updated 9 years ago
- code for stochastic expectation propagation☆17Oct 30, 2015Updated 10 years ago
- Перевод документации по dplyr☆11Aug 14, 2016Updated 9 years ago
- Python implementation for Variational Bayesian Learning☆13Jan 23, 2014Updated 12 years ago
- Gaussian process regression package for counts data with negative binomial and zero-inflated negative binomial likelihoods☆25Feb 24, 2025Updated last year