dfm / tinygp
The tiniest of Gaussian Process libraries
☆305Updated last week
Alternatives and similar repositories for tinygp:
Users that are interested in tinygp are comparing it to the libraries listed below
- Gaussian processes in JAX.☆487Updated 2 weeks ago
- Normalizing-flow enhanced sampling package for probabilistic inference in Jax☆224Updated last week
- State of the art inference for your bayesian models.☆204Updated 3 months ago
- Probabilistic Programming and Nested sampling in JAX☆172Updated 3 months ago
- ☆151Updated 2 weeks ago
- Oryx is a library for probabilistic programming and deep learning built on top of Jax.☆250Updated last week
- Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/☆384Updated last month
- BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.☆887Updated last month
- Linear solvers in JAX and Equinox. https://docs.kidger.site/lineax☆424Updated this week
- Likelihood-free AMortized Posterior Estimation with PyTorch☆126Updated 7 months ago
- Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.☆232Updated last year
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆102Updated last year
- Add a tqdm progress bar to your JAX scans and loops.☆104Updated 4 months ago
- Mathematical operations for JAX pytrees☆198Updated 3 months ago
- ⚡️ zeus: Lightning Fast MCMC ⚡️☆232Updated last year
- Interpolation and function approximation with JAX☆164Updated this week
- A differentiable cosmology library in JAX☆193Updated 3 months ago
- A system for scientific simulation-based inference at scale.☆163Updated 11 months ago
- Turn SymPy expressions into trainable JAX expressions.☆330Updated last month
- Deep GPs built on top of TensorFlow/Keras and GPflow☆124Updated 5 months ago
- Community-sourced list of papers and resources on neural simulation-based inference.☆111Updated 2 months ago
- Minimal Implementation of Bayesian Optimization in JAX☆89Updated 2 months ago
- Gaussian process modelling in Python☆222Updated 3 months ago
- Just a little MCMC☆223Updated 8 months ago
- Probabilistic Numerics in Python.☆448Updated 10 months ago
- MCHMC: sampler from an arbitrary differentiable distribution☆71Updated 3 weeks ago
- ☆556Updated this week
- Tutorials and sampling algorithm comparisons☆72Updated this week
- Solve ODEs fast, with support for PyMC☆112Updated 10 months ago
- A Bayesian optimization toolbox built on TensorFlow☆227Updated last week