ramsey-devs / ramsey
Probabilistic deep learning using JAX
☆13Updated 2 months ago
Alternatives and similar repositories for ramsey:
Users that are interested in ramsey are comparing it to the libraries listed below
- An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.☆22Updated 4 years ago
- Tutorials and sampling algorithm comparisons☆75Updated this week
- AeMCMC is a Python library that automates the construction of samplers for Aesara graphs representing statistical models.☆39Updated last year
- Fully Bayesian Inference in GPs - Gaussian and Generic Likelihoods☆22Updated last year
- Bayesian inference for a logistic regression model in various languages☆42Updated last year
- Kernels, the machine learning ones☆14Updated 2 years ago
- A generic interface for linear algebra backends☆73Updated 2 months ago
- Exponential families for JAX☆67Updated last week
- Gaussian-Processes Surrogate Optimisation in python☆19Updated 3 years ago
- Interactive textbook on state space models☆12Updated 3 years ago
- A lightweight didactic library of kernel methods using the back-end JAX.☆12Updated 2 years ago
- Simple, extensible implementations of some meta-learning algorithms in Jax☆10Updated 4 years ago
- probabilistic programming focused on fun☆40Updated 6 months ago
- Simulation based calibration and generation of synthetic data.☆50Updated last month
- Implementation of the Orthogonal Instantaneous Linear Mixing Model☆9Updated 2 years ago
- All things Monte Carlo, written in JAX.☆30Updated 2 years ago
- Jax SSM Library☆49Updated 2 years ago
- Gaussian processes on graphs and lattices in Stan.☆17Updated last month
- An HMC/NUTS implementation in Aesara☆32Updated last year
- Gaussian Process Model Building Interface☆50Updated last month
- A Simple Statistical Distribution Library in JAX☆16Updated last year
- Inference Combinators in JAX☆47Updated 6 months ago
- Minimal Gaussian process library in JAX with a simple (custom) approach to state management.☆11Updated last year
- Sampling with Blackjax on Aesara☆11Updated 2 years ago
- Bayesian inference and posterior analysis for Python☆44Updated last year
- An interactive visualization tool that transforms probabilistic programming models into an "Interactive Probabilistic Models Explorer".☆24Updated 10 months ago
- Gaussian Markov Random Fields (GMRFs) and Integrated Nested Laplace Approximation (INLA)☆21Updated last year
- Literature and light wrappers for gaussian process models.☆45Updated 3 years ago
- Tools for JAX☆45Updated 2 weeks ago
- Composable kernels for scikit-learn implemented in JAX.☆43Updated 4 years ago