jmetzen / gp_extrasLinks
Additional kernels that can be used with scikit-learn's Gaussian Process module
☆82Updated last year
Alternatives and similar repositories for gp_extras
Users that are interested in gp_extras are comparing it to the libraries listed below
Sorting:
- Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.☆248Updated last year
- pyGPs is a library containing an object-oriented python implementation for Gaussian Process (GP) regression and classification.☆216Updated 6 years ago
- Collection of jupyter notebooks for demonstrating software.☆169Updated 2 years ago
- Kernel structure discovery research code - likely to be unstable☆193Updated 10 years ago
- Code for AutoGP☆27Updated 6 years ago
- Bayesian optimization☆38Updated 5 years ago
- ☆239Updated 8 years ago
- ELFI - Engine for Likelihood-Free Inference☆277Updated 4 months ago
- Fast C code for sampling Polya-gamma random variates. Builds on Jesse Windle's BayesLogit library.☆83Updated 5 years ago
- Variational Fourier Features☆85Updated 4 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☆186Updated 11 years ago
- Parameterization Framework for parameterized model creation and handling.☆49Updated 3 months ago
- A tutorial about Gaussian process regression☆189Updated 5 years ago
- Bayesian Optimization using GPflow☆272Updated 4 years ago
- Python package for modular Bayesian optimization☆137Updated 4 years ago
- A Gaussian process toolbox in python☆42Updated 13 years ago
- InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy☆149Updated last year
- Implementation of Hidden Markov Models in pymc3☆62Updated 8 years ago
- Bayesian optimization for Python☆246Updated 3 years ago
- Code for paper "Fast ε-free Inference of Simulation Models with Bayesian Conditional Density Estimation"☆32Updated 6 years ago
- Particle Gibbs for Bayesian Additive Regression Trees☆33Updated 10 years ago
- Deep Gaussian Processes with Doubly Stochastic Variational Inference☆151Updated 6 years ago
- ☆99Updated 7 years ago
- Python library for optimizing noisy functions.☆88Updated 3 years ago
- A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.☆270Updated 5 years ago
- Neural Processes implementation for 1D regression☆64Updated 6 years ago
- Structurally efficient multi-output linearly coregionalized Gaussian Processes: it's tricky, tricky, tricky, tricky, tricky.☆38Updated 2 years ago
- Clustering time series using Gaussian processes and Variational Bayes.☆39Updated 5 years ago
- A bare-bones TensorFlow framework for Bayesian deep learning and Gaussian process approximation☆128Updated 4 years ago
- Likelihood-free inference toolbox.☆56Updated 8 years ago