Bayesian GPLVM in MATLAB and R
☆77Jun 16, 2017Updated 9 years ago
Alternatives and similar repositories for vargplvm
Users that are interested in vargplvm are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Matlab implementations of Gaussian processes and other machine learning tools.☆147Jun 16, 2017Updated 9 years ago
- Deep Gaussian Processes in matlab☆93Sep 14, 2021Updated 4 years ago
- Multiple output Gaussian processes in MATLAB including the latent force model.☆52Nov 21, 2015Updated 10 years ago
- Black Box Variational Inference☆14May 22, 2015Updated 11 years ago
- Unifying probabilistic models for time-frequency analysis. Spectral Mixture Gaussian processes in state space form.☆19May 30, 2019Updated 7 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.
- Talk on "Bayesian optimisation", beginner level☆25Apr 11, 2016Updated 10 years ago
- ☆13May 6, 2017Updated 9 years ago
- Implementation of various algorithms in the Nested Sequential Monte Carlo family of methods.☆14Sep 9, 2015Updated 10 years ago
- Fully nonstationary, heteroscedastic GP for Matlab☆16Jul 25, 2024Updated 2 years ago
- Sequential model-based optimization with a `scipy.optimize` interface☆15Aug 3, 2017Updated 9 years ago
- Code for AutoGP☆27Jul 19, 2019Updated 7 years ago
- PyTorch implementation of the Covariate-GPLVM☆26Mar 1, 2020Updated 6 years ago
- Code for ICML 2019 paper on "Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family Approximations"☆19Jan 2, 2021Updated 5 years ago
- Sampling via Moment Sharing☆11Jul 29, 2015Updated 11 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.
- PID-like control implemented as active inference with linear generative models☆11Jul 2, 2020Updated 6 years ago
- Gaussian Process Random Fields☆22Oct 28, 2015Updated 10 years ago
- Code to related to my NIPS 2016 paper☆10Dec 4, 2016Updated 9 years ago
- Collapsed Variational Bayes☆72Sep 27, 2019Updated 6 years ago
- Codes for Hilbert space reduced-rank GP regression☆15Jul 30, 2019Updated 7 years ago
- Low-rank Highway Networks☆13Mar 11, 2016Updated 10 years ago
- Code for the "Binding via Reconstruction Clustering" paper☆21Jan 19, 2016Updated 10 years ago
- Variational Bayesian Mixture of Factor Analysers☆24Jan 24, 2015Updated 11 years ago
- Learning unknown ODE models with Gaussian processes☆28Jul 30, 2018Updated 8 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Sample code for the NIPS paper "Scalable Variational Inference for Dynamical Systems"☆27Mar 29, 2019Updated 7 years ago
- Inference on marginal distributions using gradient-based optimization☆13Mar 27, 2017Updated 9 years ago
- Gaussian processes in TensorFlow☆1,917Aug 10, 2026Updated 3 weeks ago
- Metu-Sensor-Fusion-Lab / Multi-Ellipsoidal-Extended-Target-Tracking-with-Variational-Bayes-Inference☆11Jul 19, 2022Updated 4 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆67Apr 29, 2019Updated 7 years ago
- GPstuff - Gaussian process models for Bayesian analysis☆176Dec 30, 2022Updated 3 years ago
- ☆10Mar 22, 2021Updated 5 years ago
- Main component extraction for outlier detection☆20Dec 6, 2020Updated 5 years ago
- An R package for large scale estimation with stochastic gradient descent☆61Nov 8, 2025Updated 10 months 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.
- Fast inference for Generalised Linear Mixed Models.☆14Jan 17, 2025Updated last year
- A variational method for fast, approximate inference for stochastic differential equations.☆45Feb 3, 2026Updated 7 months ago
- simple example of gradient-based hyperparameter optimization using tensorflow☆19Feb 29, 2016Updated 10 years ago
- 『社会科学のためのベイズ統計モデリング』サポーサイト☆29Nov 18, 2022Updated 3 years ago
- Simulation tool for CDN replication in large low-earth orbit satellite access networks.☆12May 17, 2021Updated 5 years ago
- Tutorials and examples of advanced sampling methods for solving Bayesian Model Updating Problems☆47Feb 5, 2024Updated 2 years ago
- Code from UVA/Cville R Users Group Meetups☆24Nov 26, 2018Updated 7 years ago