jajcayn / pygpsoLinks
Gaussian-Processes Surrogate Optimisation in python
☆19Updated 4 years ago
Alternatives and similar repositories for pygpso
Users that are interested in pygpso are comparing it to the libraries listed below
Sorting:
- Kernels, the machine learning ones☆14Updated 2 years ago
- A straightforward Bayesian data fitting library☆27Updated 8 months ago
- Fully nonstationary, heteroscedastic GP for Matlab☆15Updated 11 months ago
- Fully Bayesian Inference in GPs - Gaussian and Generic Likelihoods☆22Updated last year
- pyrff: Python implementation of random fourier feature approximations for gaussian processes☆28Updated 3 months ago
- Dynamic mode decomposition with dependent structure among observables (Graph DMD)☆13Updated 5 years ago
- Design of random experiments in Python☆26Updated 5 months ago
- Implementation of the Gaussian Process Autoregressive Regression Model☆67Updated 5 months ago
- Learning with operator-valued kernels☆22Updated 2 years ago
- Codebase for "Demystifying Black-box Models with Symbolic Metamodels", NeurIPS 2019.☆50Updated 5 years ago
- Implementation of the Orthogonal Instantaneous Linear Mixing Model☆9Updated 2 years ago
- An interactive visualization tool that transforms probabilistic programming models into an "Interactive Probabilistic Models Explorer".☆24Updated last year
- Design of experiments for model discrimination using Gaussian process surrogate models☆36Updated 6 years ago
- Bayesian Adaptive Spline Surfaces for flexible and automatic regression☆24Updated last year
- Simulation-Enabled Prediction, Inference, and Analysis: physics-informed statistical learning.☆35Updated last year
- Bayesian inference for a logistic regression model in various languages☆42Updated 2 years ago
- An open access book on scientific visualization using python and matplotlib☆20Updated 2 years ago
- A curated list of resources for learning Gaussian Processes☆39Updated 3 years ago
- Source repository for the online book Exploratory Analysis of Bayesian Models.☆24Updated 2 weeks ago
- Gaussian Process Model Building Interface☆51Updated 4 months ago
- Perform inference on algorithm-agnostic variable importance in Python☆20Updated 3 years ago
- Simulation based calibration and generation of synthetic data.☆55Updated 3 weeks ago
- An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.☆22Updated 4 years ago
- Numpyro examples in Python notebooks☆11Updated 4 years ago
- Material for 'Mathematics of Deep Learning Workshop' (Invited Talk)☆17Updated 2 years ago
- The Union of Intersections Framework in Python☆14Updated this week
- Parametric Gaussian Process Regression for Big Data☆45Updated 5 years ago
- Tigramite is a time series analysis python module for linear and information-theoretic causal inference. Version 3.0 described in http://…☆33Updated 8 years ago
- Probabilistic deep learning using JAX☆15Updated 5 months ago
- a collection of modern sparse (regularized) linear regression algorithms.☆64Updated 5 years ago