SheffieldML / GPy
Gaussian processes framework in python
☆2,044Updated 3 weeks ago
Related projects ⓘ
Alternatives and complementary repositories for GPy
- Gaussian processes in TensorFlow☆1,849Updated this week
- Gaussian Process Optimization using GPy☆929Updated last year
- A highly efficient implementation of Gaussian Processes in PyTorch☆3,582Updated this week
- Bayesian optimization in PyTorch☆3,106Updated this week
- Spearmint Bayesian optimization codebase☆1,548Updated 4 years ago
- Sequential model-based optimization with a `scipy.optimize` interface☆2,744Updated 8 months ago
- (Deprecated) Experimental PyMC interface for TensorFlow Probability. Official work on this project has been discontinued.☆712Updated 3 years ago
- Notebooks about Bayesian methods for machine learning☆1,817Updated 8 months ago
- Bayesian Python: Bayesian inference tools for Python☆689Updated last month
- Render probabilistic graphical models using matplotlib☆675Updated this week
- A Python-based toolbox of various methods in decision making, uncertainty quantification and statistical emulation: multi-fidelity, exper…☆605Updated last month
- Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.☆2,750Updated this week
- Bayesian Optimization using GPflow☆270Updated 3 years ago
- RoBO: a Robust Bayesian Optimization framework☆483Updated 5 years ago
- Python package for Bayesian Machine Learning with scikit-learn API☆514Updated 3 years ago
- Fast and flexible Gaussian Process regression in Python☆451Updated this week
- Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.☆2,297Updated this week
- BayesOpt: A toolbox for bayesian optimization, experimental design and stochastic bandits.☆401Updated last year
- Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimizati…☆1,387Updated 7 years ago
- Python code for bayesian optimization using Gaussian processes☆308Updated 7 years ago
- ☆229Updated 7 years ago
- MCMC samplers for Bayesian estimation in Python, including Metropolis-Hastings, NUTS, and Slice☆330Updated last year
- A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.☆261Updated 4 years ago
- THIS IS THE **OLD** PYMC PROJECT (VERSION 2). PLEASE USE PYMC INSTEAD:☆878Updated 4 years ago
- Probabilistic Torch is library for deep generative models that extends PyTorch☆887Updated 6 months ago
- CVXOPT -- Python Software for Convex Optimization☆988Updated 3 weeks ago
- [HELP REQUESTED] Generalized Additive Models in Python☆876Updated 5 months ago
- PyStan, the Python interface to Stan☆920Updated 3 years ago
- Differentiable convex optimization layers☆1,822Updated this week
- Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization☆1,829Updated 4 months ago