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.
☆627Updated 2 months ago
Alternatives and similar repositories for emukit:
Users that are interested in emukit are comparing it to the libraries listed below
- A Bayesian optimization toolbox built on TensorFlow☆229Updated last month
- Gaussian Process Optimization using GPy☆942Updated 2 years ago
- Bayesian Optimization using GPflow☆272Updated 4 years ago
- Chaospy - Toolbox for performing uncertainty quantification.☆458Updated last month
- A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.☆269Updated 5 years ago
- Deep GPs built on top of TensorFlow/Keras and GPflow☆125Updated 6 months ago
- Gaussian processes in TensorFlow☆1,866Updated 2 months ago
- UQpy (Uncertainty Quantification with python) is a general purpose Python toolbox for modeling uncertainty in physical and mathematical s…☆315Updated 3 weeks ago
- Gaussian processes framework in python☆2,086Updated 3 months ago
- Probabilistic Numerics in Python.☆448Updated 11 months ago
- A highly efficient implementation of Gaussian Processes in PyTorch☆3,687Updated last month
- Bayesian neural network package☆147Updated 3 years ago
- Gaussian processes in JAX and Flax.☆504Updated last week
- (Deprecated) Experimental PyMC interface for TensorFlow Probability. Official work on this project has been discontinued.☆710Updated 3 years ago
- Surrogate Optimization Toolbox for Python☆209Updated 3 years ago
- Gaussian process modelling in Python☆222Updated 4 months ago
- RoBO: a Robust Bayesian Optimization framework☆485Updated 5 years ago
- Bayesian optimization for Python☆244Updated 3 years ago
- Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.☆918Updated last week
- Introduction to Uncertainty Quantification☆247Updated 3 years ago
- Surrogate Modeling Toolbox☆751Updated 3 weeks ago
- An open source python library for scalable Bayesian optimisation.☆880Updated last year
- Uncertainpy: a Python toolbox for uncertainty quantification and sensitivity analysis, tailored towards computational neuroscience.☆229Updated 2 years ago
- PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks☆444Updated 7 months ago
- ☆191Updated 9 months ago
- ☆233Updated 7 years ago
- Multi-Output Gaussian Process Toolkit☆172Updated last year
- Bayesian optimization in PyTorch☆3,239Updated this week
- Probabilistic Inference on Noisy Time Series☆235Updated 2 months ago
- constrained nonlinear optimization for scientific machine learning, UQ, and AI☆479Updated last week