normal-computing / posteriorsLinks
Uncertainty quantification with PyTorch
☆361Updated 2 months ago
Alternatives and similar repositories for posteriors
Users that are interested in posteriors are comparing it to the libraries listed below
Sorting:
- Compositional Linear Algebra☆476Updated 3 weeks ago
- A Python package for probabilistic state space modeling with JAX☆829Updated last month
- Gaussian processes in JAX and Flax.☆516Updated last month
- Oryx is a library for probabilistic programming and deep learning built on top of Jax.☆264Updated this week
- BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.☆927Updated last month
- State of the art inference for your bayesian models.☆218Updated last month
- Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/☆429Updated last week
- Materials of the Nordic Probabilistic AI School 2022.☆181Updated 2 years ago
- ☆246Updated last month
- ☆165Updated last month
- Likelihood-free AMortized Posterior Estimation with PyTorch☆130Updated 10 months ago
- ☆578Updated last month
- Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen☆206Updated last year
- PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks☆449Updated 9 months ago
- This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a…☆305Updated 3 weeks ago
- Optimal transport tools implemented with the JAX framework, to solve large scale matching problems of any flavor.☆604Updated 2 weeks ago
- This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…☆129Updated 2 years ago
- Structural Time Series in JAX☆192Updated last year
- Linear solvers in JAX and Equinox. https://docs.kidger.site/lineax☆456Updated 3 weeks ago
- Running Jax in PyTorch Lightning☆102Updated 6 months ago
- JAX Arrays for human consumption☆93Updated last week
- Turn SymPy expressions into trainable JAX expressions.☆342Updated last month
- Run PyTorch in JAX. 🤝☆252Updated 4 months ago
- Hierarchical Associative Memory User Experience☆100Updated last year
- A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.☆242Updated last month
- Laplace approximations for Deep Learning.☆508Updated 2 months ago
- The tiniest of Gaussian Process libraries☆310Updated this week
- A Python library for amortized Bayesian workflows using generative neural networks.☆572Updated this week
- Agustinus' very opiniated publication-ready plotting library☆66Updated last month
- ☆188Updated this week