alan-turing-institute / python-project-templateLinks
☆26Updated last week
Alternatives and similar repositories for python-project-template
Users that are interested in python-project-template are comparing it to the libraries listed below
Sorting:
- Emulate simulations easily☆109Updated this week
- Gaussian Markov Random Fields (GMRFs) and Integrated Nested Laplace Approximation (INLA)☆22Updated last year
- Neural parameter calibration for multi-agent models. Uses neural networks to estimate marginal densities on parameters and networks☆32Updated 2 weeks ago
- A framework for composing Neural Processes in Python☆89Updated last year
- Literature and light wrappers for gaussian process models.☆47Updated 4 years ago
- Course materials of "Bayesian Modelling and Probabilistic Programming with Numpyro, and Deep Generative Surrogates for Epidemiology"☆70Updated 11 months ago
- ☆35Updated 4 years ago
- Probabilistic numerical finite differences. Compute finite difference weights and differentiation matrices on scattered data sites and wi…☆11Updated 2 years ago
- ☆27Updated 5 months ago
- Probabilistic ODE solvers are fun, but are they fast? See also: https://github.com/pnkraemer/probdiffeq for JAX code or https://github.c…☆21Updated last year
- IterGP: Computation-Aware Gaussian Process Inference (NeurIPS 2022)☆43Updated 2 years ago
- Coordinate Axes for JAX☆59Updated this week
- Probabilistic deep learning using JAX☆15Updated last year
- Agustinus' very opiniated publication-ready plotting library☆71Updated 9 months ago
- Public code for running Stochastic Gradient Descent on GPs.☆39Updated 9 months ago
- Matrix-free linear algebra in JAX.☆159Updated 2 months ago
- epydemix, the ABC of epidemics☆56Updated 2 months ago
- An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.☆22Updated 4 years ago
- A generic interface for linear algebra backends☆76Updated 2 months ago
- Package for fitting Gaussian Process Emulators to multiple output computer simulation results.☆53Updated 2 years ago
- ☆213Updated last week
- Fully and Partially Bayesian Neural Nets☆80Updated 9 months ago
- Bayesian Neural Field models for prediction in large-scale spatiotemporal datasets☆147Updated last year
- Python package 'dgpsi' for deep and linked Gaussian process emulations☆28Updated 2 months ago
- Step size adaptation for the No-U-Turn Sampler☆26Updated 2 months ago
- Probabilistic solvers for differential equations in JAX. Adaptive ODE solvers with calibration, state-space model factorisations, and cus…☆53Updated 2 months ago
- Tutorials and sampling algorithm comparisons☆79Updated this week
- My code repo for random-walks.org☆16Updated last month
- A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch☆123Updated last month
- State of the art inference for your bayesian models.☆231Updated 3 weeks ago