EmuKit / emukitLinks
A Python-based toolbox of various methods in decision making, uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc.
☆630Updated 5 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☆237Updated 3 weeks ago
- Gaussian Process Optimization using GPy☆945Updated 2 years ago
- Bayesian Optimization using GPflow☆272Updated 4 years ago
- A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.☆270Updated 5 years ago
- Bayesian optimization for Python☆246Updated 3 years ago
- Introduction to Uncertainty Quantification☆253Updated 3 years ago
- Surrogate Optimization Toolbox for Python☆211Updated 3 years ago
- ☆236Updated 8 years ago
- Multi-Output Gaussian Process Toolkit☆175Updated last month
- Chaospy - Toolbox for performing uncertainty quantification.☆462Updated last week
- Deep GPs built on top of TensorFlow/Keras and GPflow☆127Updated 8 months ago
- UQpy (Uncertainty Quantification with python) is a general purpose Python toolbox for modeling uncertainty in physical and mathematical s…☆318Updated 2 weeks ago
- Surrogate Modeling Toolbox☆778Updated this week
- ☆199Updated 11 months ago
- Gaussian processes framework in python☆2,103Updated 3 weeks ago
- Probabilistic Numerics in Python.☆452Updated last week
- Uncertainpy: a Python toolbox for uncertainty quantification and sensitivity analysis, tailored towards computational neuroscience.☆228Updated 2 years ago
- PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks☆451Updated 10 months ago
- Gaussian process modelling in Python☆223Updated 6 months ago
- Gaussian processes in TensorFlow☆1,878Updated last month
- Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.☆930Updated 2 weeks ago
- Bayesian neural network package☆148Updated 4 years ago
- Gaussian processes in JAX and Flax.☆521Updated 2 weeks ago
- Statistical Rethinking (2nd ed.) with NumPyro☆461Updated 2 months ago
- ☆152Updated 2 years ago
- Deep Gaussian Processes in Python☆234Updated 4 years ago
- Probabilistic Inference on Noisy Time Series☆238Updated 5 months ago
- Benchmark framework to easily compare Bayesian optimization methods on real machine learning tasks☆150Updated 4 years ago
- Design of experiments for Python☆161Updated last year
- An open source python library for scalable Bayesian optimisation.☆887Updated 2 years ago