alan-turing-institute / autoemulateLinks
Emulate simulations easily
☆95Updated this week
Alternatives and similar repositories for autoemulate
Users that are interested in autoemulate are comparing it to the libraries listed below
Sorting:
- Package for fitting Gaussian Process Emulators to multiple output computer simulation results.☆51Updated last year
- Literature and light wrappers for gaussian process models.☆48Updated 4 years ago
- The tiniest of Gaussian Process libraries☆317Updated 2 weeks ago
- python Parameter EStimation TOolbox☆261Updated this week
- Fully and Partially Bayesian Neural Nets☆75Updated 4 months ago
- Finite difference tools in JAX☆22Updated last year
- Interpolation and function approximation with JAX☆219Updated this week
- ☆22Updated this week
- Deep GPs built on top of TensorFlow/Keras and GPflow☆127Updated 11 months ago
- Python package 'dgpsi' for deep and linked Gaussian process emulations☆27Updated 2 weeks ago
- Optimal numerical differentiation of noisy time series data in python.☆65Updated 2 months ago
- A framework for composing Neural Processes in Python☆85Updated 9 months ago
- Unleash the true power of scheduling☆30Updated 5 months ago
- Gaussian Mixture Models in Jax☆22Updated 2 months ago
- Automatic parametric modeling with symbolic regression☆56Updated 2 months ago
- Solve ODEs fast, with support for PyMC☆114Updated last year
- Gaussian processes in JAX and Flax.☆534Updated last week
- Methods for numerical differentiation of noisy data in python☆122Updated last week
- Probabilistic Programming and Nested sampling in JAX☆207Updated last month
- ☆67Updated 2 months ago
- Gaussian Processes for Experimental Sciences☆227Updated 2 months ago
- Simple Xarray + JAX Integration☆21Updated 3 weeks ago
- Simulation-based inference in JAX☆34Updated 5 months ago
- Numerical integration in arbitrary dimensions on the GPU using PyTorch / TF / JAX☆207Updated last month
- Flexible and efficient tools for high-dimensional approximation, scientific machine learning and uncertainty quantification.☆65Updated last week
- Minimal Implementation of Bayesian Optimization in JAX☆97Updated 4 months ago
- A Bayesian optimization toolbox built on TensorFlow☆240Updated last week
- Exploring how to to deal with uncertain inputs with gaussian process regression models.☆27Updated 4 years ago
- A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch☆114Updated 6 months ago
- Gaussian processes with spherical harmonic features in JAX☆15Updated 3 weeks ago