PyTorch implementation of the Covariate-GPLVM
☆26Mar 1, 2020Updated 6 years ago
Alternatives and similar repositories for c-GPLVM
Users that are interested in c-GPLVM are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features☆24Apr 20, 2019Updated 7 years ago
- Variational Fourier Features☆88Jun 16, 2021Updated 5 years ago
- Hierarchical Gaussian process latent variable model.☆18May 19, 2021Updated 5 years ago
- A collection of Gaussian process models☆30Aug 17, 2017Updated 8 years ago
- Mixtures of Gaussian Process Experts in GPflow/TensorFlow☆13Aug 1, 2022Updated 3 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Supplementary code for the NeurIPS 2020 paper "Matern Gaussian processes on Riemannian manifolds".☆31Feb 3, 2025Updated last year
- Dirichlet Process Mixture using PVI, SMC, Variational☆15Jun 20, 2014Updated 12 years ago
- Modular Gaussian Processes☆17Dec 9, 2021Updated 4 years ago
- GrandPrix☆17May 27, 2019Updated 7 years ago
- Gaussian Process Prior Variational Autoencoder☆86Nov 28, 2018Updated 7 years ago
- Gaussian processes in TensorFlow with modifications to allow inter-domain inducing variables☆13Aug 11, 2017Updated 8 years ago
- see https://github.com/thangbui/geepee for a faster implementation☆37May 30, 2017Updated 9 years ago
- Sparse Orthogonal Variational Inference for Gaussian Processes (SOLVE-GP)☆23Jun 22, 2021Updated 5 years ago
- Unofficial PyTorch implementation of Neural Additive Models (NAM) by Agarwal, et al.☆14May 30, 2021Updated 5 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.
- Online variational GPs☆38Jun 1, 2023Updated 3 years ago
- Bayesian nonparametric small-variance asymptotic clustering algorithms☆20Apr 25, 2017Updated 9 years ago
- Differentiable Gaussian Process implementation for PyTorch☆22Jul 8, 2018Updated 8 years ago
- A community repository for benchmarking Bayesian methods☆113Nov 29, 2021Updated 4 years ago
- Implementation for Non-stationary Spectral Kernels (NIPS 2017)☆20Jan 4, 2020Updated 6 years ago
- Contextual Relative Entropy Policy Search for Reinforcement Learning in Python☆15Oct 17, 2018Updated 7 years ago
- Using synthetically generated video data to learn how/when R-CNNs can outperform CNNs.☆17Mar 18, 2018Updated 8 years ago
- ☆16Nov 4, 2021Updated 4 years ago
- Streaming sparse Gaussian process approximations☆70Oct 5, 2022Updated 3 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.
- Sample code for the NIPS paper "Scalable Variational Inference for Dynamical Systems"☆27Mar 29, 2019Updated 7 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
- Official code for "Efficient Deep Gaussian Process Models for Variable-Sized Inputs" - accepted in IJCNN2019☆15Jul 17, 2019Updated 7 years ago
- Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks☆11Oct 21, 2022Updated 3 years ago
- This repository contains the codes for manipulability learning, tracking and transfer.☆27Oct 14, 2021Updated 4 years ago
- ☆26Jun 19, 2020Updated 6 years ago
- CorBinian: A toolbox for modelling and simulating high-dimensional binary and count-data with correlations☆19Jul 26, 2021Updated 5 years ago
- pyTorch variational autoencoder, with explainations☆11May 31, 2017Updated 9 years ago
- ☆11Apr 23, 2024Updated 2 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.
- Light-weighted code for Orthogonal Additive Gaussian Processes☆46Jul 30, 2024Updated last year
- ☆11Nov 1, 2023Updated 2 years ago
- Demonstration of Jackknife Variational Inference for Variational Autoencoders, related to ICLR 2018 paper.☆22Feb 21, 2018Updated 8 years ago
- This repository contains the code for GMR-based Gaussian process.☆23Oct 7, 2019Updated 6 years ago
- Hierarchical Change-Point Detection☆17Oct 25, 2018Updated 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