Code for AutoGP
☆27Jul 19, 2019Updated 6 years ago
Alternatives and similar repositories for AutoGP
Users that are interested in AutoGP are comparing it to the libraries listed below
Sorting:
- Nonlinear Sigma-Point Kalman Filters based on Bayesian Quadrature☆12Aug 10, 2021Updated 4 years ago
- Applications of Gaussian Process Latent Variable Models in Finance☆11Aug 23, 2022Updated 3 years ago
- End-to-End Probabilistic Inference for Nonstationary Audio Analysis☆12Aug 7, 2019Updated 6 years ago
- Gaussian Process Regression Network code☆13Sep 3, 2013Updated 12 years ago
- Implementation for Non-stationary Spectral Kernels (NIPS 2017)☆20Jan 4, 2020Updated 6 years ago
- Exploring by Minimizing Uncertainty of Q values (EMU-Q) as presented in "Bayesian RL for Goal-Only Rewards" at CoRL'18.☆10Nov 8, 2018Updated 7 years ago
- Unbiased and Consistent Nested Sampling via Sequential Monte Carlo☆15May 4, 2025Updated 10 months ago
- Gaussian processes regression models with linear inequality constraints☆16Jul 10, 2024Updated last year
- Examples of building probabilistic models with MXNet linear algebra operators☆23Oct 24, 2017Updated 8 years ago
- A Julia implementation of the Paillier partially homomorphic encryption system☆13Oct 8, 2020Updated 5 years ago
- Super fast dynamic nested sampling with PolyChord (Python, C++ and Fortran likelihoods).☆22May 3, 2020Updated 5 years ago
- Non-stationary spectral mixture kernels implemented in GPflow☆29Nov 30, 2018Updated 7 years ago
- ☆40Apr 29, 2019Updated 6 years ago
- ☆29Feb 15, 2019Updated 7 years ago
- ☆11Jun 8, 2018Updated 7 years ago
- Scratching the surface of Android P and its support to RTT protocol☆13Mar 23, 2018Updated 7 years ago
- Codes for Hilbert space reduced-rank GP regression☆16Jul 30, 2019Updated 6 years ago
- Implementation of the Gaussian processes regression with inducing points for online data with ensemble Kalman filter estimation. Code for…☆17Jul 9, 2018Updated 7 years ago
- Simple Reinforcement learning example, based on the Q-function.☆18Jun 29, 2018Updated 7 years ago
- GPz 2.0: Heteroscedastic Gaussian processes for uncertain and incomplete data☆49Apr 5, 2021Updated 4 years ago
- Deep Gaussian Processes with Importance-Weighted Variational Inference☆39May 30, 2019Updated 6 years ago
- Exercises for the semi-supervised summer school https://semisupervised-learning.compute.dtu.dk.☆11Aug 11, 2016Updated 9 years ago
- Open Data Science☆33Dec 10, 2024Updated last year
- State space modeling with recurrent neural networks☆45Mar 30, 2018Updated 7 years ago
- Matlab Code for Variational Gaussian Copula Inference☆17Mar 15, 2016Updated 10 years ago
- Sample R code for visualising models (especially models in data space)☆16Oct 6, 2008Updated 17 years ago
- Peoplecott attempts to unveil the immoral behavior funded by brand loyalty.☆10Jun 29, 2024Updated last year
- Tidy Simultaneous Confidence Intervals for Multinomial Proportions☆11Apr 9, 2020Updated 5 years ago
- Code release for the ICLR paper☆21Jun 13, 2018Updated 7 years ago
- Large-scale spatial inference with Tensorflow.☆11Sep 2, 2021Updated 4 years ago
- Package Version Manager for R☆15Nov 12, 2022Updated 3 years ago
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Jul 10, 2018Updated 7 years ago
- ☆12Jun 5, 2015Updated 10 years ago
- MCMC routines☆12Nov 22, 2022Updated 3 years ago
- Python implementation of the PR-SSM.☆58Jul 9, 2018Updated 7 years ago
- Fast and flexible Gaussian Process regression in Python☆460Updated this week
- Variance Networks: When Expectation Does Not Meet Your Expectations, ICLR 2019☆39Jan 31, 2020Updated 6 years ago
- Port of Python's os.path☆19Feb 6, 2017Updated 9 years ago
- ☆39Apr 22, 2025Updated 10 months ago