Kernel structure discovery research code - likely to be unstable
☆195Jul 27, 2015Updated 10 years ago
Alternatives and similar repositories for gpss-research
Users that are interested in gpss-research are comparing it to the libraries listed below
Sorting:
- ☆245Jul 2, 2017Updated 8 years ago
- I am in [research] stepped in so far that, should I wade no more, Returning were as tedious as go o'er. -MacBeth☆189Jun 29, 2014Updated 11 years ago
- ☆46Oct 15, 2013Updated 12 years ago
- A basic implementation with GPy of an Automatic Bayesian Covariance Discovery (ABCD) system☆15Nov 15, 2023Updated 2 years ago
- Gaussian processes framework in python☆2,143Jun 19, 2025Updated 8 months ago
- Inference on non-linear dynamical systems written in JAX☆11Aug 20, 2020Updated 5 years ago
- GPstuff - Gaussian process models for Bayesian analysis☆175Dec 30, 2022Updated 3 years ago
- Active Learning experiments for Machine Learning in Life Sciences Workshop ECML 2015☆16Oct 12, 2016Updated 9 years ago
- customized GPflow with simple Tensorflow API☆17Aug 7, 2019Updated 6 years ago
- Gaussian processes in TensorFlow☆1,902May 29, 2025Updated 9 months ago
- Gaussian Process and Uncertainty Quantification Summer School 2020☆33Dec 15, 2022Updated 3 years ago
- Unifying sparse approximations for Gaussian process regression and classification, using Power EP☆22Oct 17, 2016Updated 9 years ago
- Bayesian GPLVM in MATLAB and R☆78Jun 16, 2017Updated 8 years ago
- an sata controller using smallest resource.☆17Feb 5, 2014Updated 12 years ago
- ☆10Jun 13, 2021Updated 4 years ago
- Python package for inference with Gaussian processes☆11Mar 25, 2015Updated 10 years ago
- Dependency Syntactic Parsing for Portuguese, Spanish, English, and Galician, including MetaRomance parser☆10Jun 7, 2018Updated 7 years ago
- 📦 Python library providing Two-Piece distributions functionality. It covers the subfamilies: TP Scale, TP Shape, and Double TP.☆12May 16, 2024Updated last year
- Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)☆86Jul 19, 2020Updated 5 years ago
- Collaborative filtering with the GP-LVM☆25May 15, 2015Updated 10 years ago
- Library of composable generative population models which serve as the modeling and inference backend of BayesDB.☆25Jul 11, 2024Updated last year
- Composable kernels for scikit-learn implemented in JAX.☆47Oct 26, 2020Updated 5 years ago
- Fast and flexible Gaussian Process regression in Python☆460Updated this week
- This is the published codes for Dilated Convolutional Neural Networks for Sequential Manifold-valued Data ICCV 2019☆10May 16, 2021Updated 4 years ago
- Python 3.6 and TensorFlow implementation of the AReS and MaRS algorithms☆11Jun 23, 2019Updated 6 years ago
- ☆10Nov 5, 2016Updated 9 years ago
- Code to related to my NIPS 2016 paper☆10Dec 4, 2016Updated 9 years ago
- Code for density estimation with nonparametric cluster shapes.☆39Jun 8, 2016Updated 9 years ago
- Fully nonstationary, heteroscedastic GP for Matlab☆16Jul 25, 2024Updated last year
- Aligntune : A Modular Toolkit for Post Training Alignment of LLMs☆35Feb 26, 2026Updated last week
- Parameterization Framework for parameterized model creation and handling.☆49Jun 30, 2025Updated 8 months ago
- Gaussian process regression algorithms for nonlinear system state prediciton☆13Jun 27, 2015Updated 10 years ago
- Routines for implementing various statistical and machine learning techniques.☆19Nov 28, 2022Updated 3 years ago
- Kernel Identification Through Transformers☆14May 19, 2023Updated 2 years ago
- Bayesian Logistic Regression using Laplace approximations to the posterior.☆48Feb 27, 2017Updated 9 years ago
- Repo for a paper about constructing priors on very deep models.☆73Jul 8, 2016Updated 9 years ago
- An integrated demo: Gaussian processes for PDEs and inverse problems☆16Jul 17, 2025Updated 7 months ago
- Model your data with the Von Mises-Fisher distribution in Python☆13Feb 1, 2016Updated 10 years ago
- Annealed Importance Sampling (AIS) for generative models.☆16Jul 20, 2018Updated 7 years ago