Library for Deep Gaussian Processes based on GPflow
☆18Mar 31, 2020Updated 6 years ago
Alternatives and similar repositories for dgplib
Users that are interested in dgplib are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆28Feb 15, 2019Updated 7 years ago
- 🤿 Implementation of doubly stochastic deep Gaussian Process using GPflow and TensorFlow 2.0☆25Feb 11, 2024Updated 2 years ago
- Code for AutoGP☆27Jul 19, 2019Updated 6 years ago
- Deep Kernel Learning. Gaussian Process Regression where the input is a neural network mapping of x that maximizes the marginal likelihood☆96Nov 23, 2017Updated 8 years ago
- Deep Gaussian Process for Inverse Reinforcement Learning☆32Jul 6, 2017Updated 8 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.
- Deep neural network kernel for Gaussian process☆210Sep 8, 2020Updated 5 years ago
- Deep Gaussian Processes in Python☆233May 4, 2021Updated 5 years ago
- Non-stationary spectral mixture kernels implemented in GPflow☆29Nov 30, 2018Updated 7 years ago
- Deep Reinforcement Learning applied to trading☆15Jan 29, 2019Updated 7 years ago
- Nonlinear Sigma-Point Kalman Filters based on Bayesian Quadrature☆12Aug 10, 2021Updated 4 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆39Jun 21, 2019Updated 6 years ago
- Gaussian processes regression models with linear inequality constraints☆16Jul 10, 2024Updated last year
- Gaussian Processes for Sequential Data☆19Dec 12, 2020Updated 5 years ago
- R Package. Bayesian and nonparametric quantile regression, using Gaussian Processes to model the trend, and Dirichlet Processes, for the …☆11Nov 22, 2019Updated 6 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Applications of Gaussian Process Latent Variable Models in Finance☆11Aug 23, 2022Updated 3 years ago
- ☆11Jun 8, 2018Updated 7 years ago
- A community repository for benchmarking Bayesian methods☆112Nov 29, 2021Updated 4 years ago
- Repository for the work Transforming Gaussian Processes with Normalizing Flows published at AISTATS 2021☆26Dec 19, 2022Updated 3 years ago
- Implementation of the Gaussian processes regression with inducing points for online data with ensemble Kalman filter estimation. Code for…☆16Jul 9, 2018Updated 7 years ago
- Streaming sparse Gaussian process approximations☆69Oct 5, 2022Updated 3 years ago
- Examples for using Amazon SageMaker Operators for Kubernetes☆12Mar 4, 2020Updated 6 years ago
- Junction Tree Variational AutoEncoder Implementation Attempt☆11Jun 21, 2018Updated 7 years ago
- Greed is Good: Exploration and Exploitation Trade-offs in Bayesian Optimisation☆10May 20, 2021Updated 5 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.
- Low rank adaptation of covariance matrices for nuts sampling in pymc3☆15Jun 7, 2022Updated 3 years ago
- Implementation for Non-stationary Spectral Kernels (NIPS 2017)☆20Jan 4, 2020Updated 6 years ago
- ☆14Nov 2, 2022Updated 3 years ago
- A bare-bones TensorFlow framework for Bayesian deep learning and Gaussian process approximation☆128Jul 27, 2021Updated 4 years ago
- Numpyro examples in Python notebooks☆11Sep 7, 2020Updated 5 years ago
- Sample code for the NIPS paper "Scalable Variational Inference for Dynamical Systems"☆27Mar 29, 2019Updated 7 years ago
- material for cheminfo tutorial☆13Oct 26, 2023Updated 2 years ago
- The inverse materials design is a key topic of materials science nowadays. The proposed software solutions are useful tools for decision …☆11Jul 15, 2020Updated 5 years ago
- This repository contains code for paper NPENAS.☆12Feb 13, 2022Updated 4 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Implementation of the LOSSGRAD optimization algorithm☆15Mar 21, 2019Updated 7 years ago
- Topoly Python test package☆10Sep 8, 2025Updated 8 months ago
- Home for the computational inference reading group.☆17Apr 1, 2020Updated 6 years ago
- ☆29Jun 7, 2018Updated 7 years ago
- ☆18Dec 6, 2021Updated 4 years ago
- Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.☆251Aug 2, 2024Updated last year
- "Variational inference tools to leverage estimator sensitivity."☆15May 11, 2023Updated 3 years ago