EmuKit / emukit
A Python-based toolbox of various methods in decision making, uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc.
☆629Updated 3 months ago
Alternatives and similar repositories for emukit
Users that are interested in emukit are comparing it to the libraries listed below
Sorting:
- A Bayesian optimization toolbox built on TensorFlow☆233Updated 3 weeks ago
- Gaussian Process Optimization using GPy☆942Updated 2 years ago
- Bayesian Optimization using GPflow☆272Updated 4 years ago
- Gaussian processes in TensorFlow☆1,869Updated 3 months ago
- Gaussian processes framework in python☆2,091Updated 4 months ago
- A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.☆269Updated 5 years ago
- Introduction to Uncertainty Quantification☆249Updated 3 years ago
- Surrogate Optimization Toolbox for Python☆210Updated 3 years ago
- Chaospy - Toolbox for performing uncertainty quantification.☆461Updated 2 months ago
- UQpy (Uncertainty Quantification with python) is a general purpose Python toolbox for modeling uncertainty in physical and mathematical s…☆316Updated last month
- A highly efficient implementation of Gaussian Processes in PyTorch☆3,703Updated 2 months ago
- Bayesian optimization for Python☆246Updated 3 years ago
- ☆233Updated 7 years ago
- Probabilistic Numerics in Python.☆449Updated last year
- RoBO: a Robust Bayesian Optimization framework☆485Updated 6 years ago
- (Deprecated) Experimental PyMC interface for TensorFlow Probability. Official work on this project has been discontinued.☆710Updated 3 years ago
- BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.☆914Updated 3 weeks ago
- ELFI - Engine for Likelihood-Free Inference☆274Updated last week
- Bayesian neural network package☆147Updated 3 years ago
- Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.☆2,441Updated 2 weeks ago
- A simple probabilistic programming language.☆695Updated 2 months ago
- Gaussian processes in JAX and Flax.☆507Updated last month
- Surrogate Modeling Toolbox☆766Updated 2 weeks ago
- Deep GPs built on top of TensorFlow/Keras and GPflow☆125Updated 7 months ago
- Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.☆921Updated last month
- PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks☆447Updated 8 months ago
- Uncertainpy: a Python toolbox for uncertainty quantification and sensitivity analysis, tailored towards computational neuroscience.☆230Updated 2 years ago
- Benchmark framework to easily compare Bayesian optimization methods on real machine learning tasks☆146Updated 3 years ago
- Probabilistic Inference on Noisy Time Series☆236Updated 3 months ago
- Statistical Rethinking (2nd ed.) with NumPyro☆457Updated 2 weeks ago