dfm / tinygpLinks
The tiniest of Gaussian Process libraries
☆315Updated 3 weeks ago
Alternatives and similar repositories for tinygp
Users that are interested in tinygp are comparing it to the libraries listed below
Sorting:
- Probabilistic Programming and Nested sampling in JAX☆198Updated last week
- State of the art inference for your bayesian models.☆221Updated 3 months ago
- Gaussian processes in JAX and Flax.☆527Updated last week
- Normalizing-flow enhanced sampling package for probabilistic inference in Jax☆248Updated last week
- ☆181Updated 2 weeks ago
- Oryx is a library for probabilistic programming and deep learning built on top of Jax.☆275Updated this week
- Likelihood-free AMortized Posterior Estimation with PyTorch☆130Updated last year
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆104Updated last year
- BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.☆946Updated 3 months ago
- Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/☆463Updated last week
- A system for scientific simulation-based inference at scale.☆164Updated last year
- Probabilistic Numerics in Python.☆453Updated last month
- ⚡️ zeus: Lightning Fast MCMC ⚡️☆239Updated last year
- Minimal Implementation of Bayesian Optimization in JAX☆95Updated 4 months ago
- Linear solvers in JAX and Equinox. https://docs.kidger.site/lineax☆467Updated this week
- Interpolation and function approximation with JAX☆212Updated last week
- Add a tqdm progress bar to your JAX scans and loops.☆116Updated 3 months ago
- Community-sourced list of papers and resources on neural simulation-based inference.☆124Updated 3 months ago
- Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.☆235Updated last year
- A differentiable cosmology library in JAX☆210Updated last month
- Mathematical operations for JAX pytrees☆200Updated 8 months ago
- Turn SymPy expressions into trainable JAX expressions.☆347Updated 4 months ago
- MCHMC: sampler from an arbitrary differentiable distribution☆73Updated 3 months ago
- Tools for an Aesara-based PPL.☆66Updated 9 months ago
- Simulation-based inference benchmark☆101Updated 7 months ago
- sbi is a Python package for simulation-based inference, designed to meet the needs of both researchers and practitioners. Whether you nee…☆719Updated last week
- Just a little MCMC☆228Updated last year
- Probabilistic modeling of tabular data with normalizing flows.☆57Updated 2 months ago
- Gaussian process modelling in Python☆222Updated 8 months ago
- Deep GPs built on top of TensorFlow/Keras and GPflow☆127Updated 10 months ago