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.
☆617Updated 2 weeks 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☆227Updated this week
- Bayesian Optimization using GPflow☆270Updated 4 years ago
- Gaussian Process Optimization using GPy☆938Updated 2 years ago
- A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.☆268Updated 5 years ago
- Introduction to Uncertainty Quantification☆245Updated 2 years ago
- Bayesian optimization for Python☆243Updated 3 years ago
- Gaussian processes in TensorFlow☆1,863Updated 2 weeks ago
- Probabilistic Numerics in Python.☆448Updated 10 months ago
- Gaussian processes framework in python☆2,075Updated last month
- Chaospy - Toolbox for performing uncertainty quantification.☆455Updated last month
- Gaussian process modelling in Python☆222Updated 2 months ago
- Deep GPs built on top of TensorFlow/Keras and GPflow☆124Updated 4 months ago
- Surrogate Optimization Toolbox for Python☆205Updated 3 years ago
- Surrogate Modeling Toolbox☆734Updated 2 weeks ago
- Python code for bayesian optimization using Gaussian processes☆311Updated 8 years ago
- RoBO: a Robust Bayesian Optimization framework☆485Updated 5 years ago
- BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.☆882Updated last week
- An open source python library for scalable Bayesian optimisation.☆870Updated last year
- ☆232Updated 7 years ago
- Statistical Rethinking (2nd ed.) with NumPyro☆452Updated last year
- PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks☆432Updated 6 months ago
- UQpy (Uncertainty Quantification with python) is a general purpose Python toolbox for modeling uncertainty in physical and mathematical s…☆288Updated this week
- ☆189Updated 7 months ago
- A simple probabilistic programming language.☆689Updated last month
- Gaussian processes in JAX.☆479Updated 3 weeks ago
- Uncertainpy: a Python toolbox for uncertainty quantification and sensitivity analysis, tailored towards computational neuroscience.☆228Updated 2 years ago
- I am in [research] stepped in so far that, should I wade no more, Returning were as tedious as go o'er. -MacBeth☆182Updated 10 years ago
- Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.☆2,403Updated last week
- Bayesian neural network package☆141Updated 3 years ago
- DeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks☆283Updated this week