SheffieldML / GPyLinks
Gaussian processes framework in python
☆2,124Updated 4 months ago
Alternatives and similar repositories for GPy
Users that are interested in GPy are comparing it to the libraries listed below
Sorting:
- Gaussian processes in TensorFlow☆1,889Updated 5 months ago
- Gaussian Process Optimization using GPy☆950Updated 2 years ago
- A highly efficient implementation of Gaussian Processes in PyTorch☆3,786Updated 3 weeks ago
- A Python-based toolbox of various methods in decision making, uncertainty quantification and statistical emulation: multi-fidelity, exper…☆638Updated last month
- Bayesian optimization in PyTorch☆3,399Updated this week
- Notebooks about Bayesian methods for machine learning☆1,901Updated last year
- BayesOpt: A toolbox for bayesian optimization, experimental design and stochastic bandits.☆420Updated 2 years ago
- Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.☆2,550Updated last week
- Sequential model-based optimization with a `scipy.optimize` interface☆2,800Updated last year
- Python library for causal inference and probabilistic modeling.☆3,095Updated 2 weeks ago
- Bayesian Optimization using GPflow☆272Updated 4 years ago
- Spearmint Bayesian optimization codebase☆1,562Updated 5 years ago
- ☆241Updated 8 years ago
- Bayesian Python: Bayesian inference tools for Python☆699Updated 3 months ago
- A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.☆270Updated 5 years ago
- Python code for bayesian optimization using Gaussian processes☆313Updated 8 years ago
- An open source python library for scalable Bayesian optimisation.☆892Updated 2 years ago
- RoBO: a Robust Bayesian Optimization framework☆490Updated 6 years ago
- Python package for Bayesian Machine Learning with scikit-learn API☆521Updated 4 years ago
- (Deprecated) Experimental PyMC interface for TensorFlow Probability. Official work on this project has been discontinued.☆709Updated 4 years ago
- PyStan, the Python interface to Stan☆927Updated 4 years ago
- Fast and flexible Gaussian Process regression in Python☆459Updated 2 weeks ago
- Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.☆953Updated last week
- Render probabilistic graphical models using matplotlib☆684Updated last week
- CVXOPT -- Python Software for Convex Optimization☆1,027Updated 3 weeks ago
- Probabilistic reasoning and statistical analysis in TensorFlow☆4,389Updated last week
- Python implementation of CMA-ES☆1,241Updated last month
- Sequential Monte Carlo in python☆472Updated 3 weeks ago
- SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization☆1,202Updated this week
- A Python implementation of global optimization with gaussian processes.☆8,448Updated 2 months ago