dfm / gpLinks
A tutorial about Gaussian process regression
☆192Updated 5 years ago
Alternatives and similar repositories for gp
Users that are interested in gp are comparing it to the libraries listed below
Sorting:
- ☆242Updated 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☆188Updated 11 years ago
- Fast and flexible Gaussian Process regression in Python☆459Updated 2 weeks ago
- Deep Gaussian Processes in Python☆236Updated 4 years ago
- Additional kernels that can be used with scikit-learn's Gaussian Process module☆82Updated last year
- GPz 2.0: Heteroscedastic Gaussian processes for uncertain and incomplete data☆48Updated 4 years ago
- Package implementing various parametric and nonparametric methods for conditional density estimation☆197Updated 2 years ago
- Just a little MCMC☆233Updated last year
- Kernel structure discovery research code - likely to be unstable☆194Updated 10 years ago
- Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.☆251Updated last year
- pyGPs is a library containing an object-oriented python implementation for Gaussian Process (GP) regression and classification.☆217Updated 6 years ago
- python version of the No-U-Turn Sampler (NUTS) from Hoffman & Gelman, 2011☆132Updated 5 years ago
- A list of Python-based MCMC & ABC packages☆123Updated 6 months ago
- ELFI - Engine for Likelihood-Free Inference☆279Updated 7 months ago
- Manifold Markov chain Monte Carlo methods in Python☆237Updated this week
- InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy☆147Updated last year
- Bayesian optimization☆38Updated 6 years ago
- Implementing Bayes by Backprop☆184Updated 6 years ago
- Deep Gaussian Processes with Doubly Stochastic Variational Inference☆151Updated 6 years ago
- Collection of jupyter notebooks for demonstrating software.☆169Updated 2 years ago
- Bayesian optimization for Python☆246Updated 3 years ago
- A Primer on Gaussian Processes for Regression Analysis (PyData NYC 2019)☆165Updated 4 years ago
- MCMC samplers for Bayesian estimation in Python, including Metropolis-Hastings, NUTS, and Slice☆338Updated 3 years ago
- A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.☆272Updated 5 years ago
- Bayesian Optimization using GPflow☆272Updated 5 years ago
- ☆65Updated last year
- Gaussian process modelling in Python☆226Updated last year
- A probabilistic programming system for simulators and high-performance computing (HPC), based on PyTorch☆391Updated last year
- Gaussian mixture model for incomplete (missing or truncated) and noisy data☆103Updated 3 years ago
- ABCpy package☆116Updated last year