normal-computing / posteriors
Uncertainty quantification with PyTorch
☆354Updated 3 weeks ago
Alternatives and similar repositories for posteriors:
Users that are interested in posteriors are comparing it to the libraries listed below
- Compositional Linear Algebra☆475Updated last month
- Oryx is a library for probabilistic programming and deep learning built on top of Jax.☆257Updated last week
- A Python package for probabilistic state space modeling with JAX☆811Updated 2 weeks ago
- Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/☆409Updated 2 weeks ago
- State of the art inference for your bayesian models.☆212Updated this week
- Gaussian processes in JAX and Flax.☆505Updated 3 weeks ago
- BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.☆908Updated last week
- ☆246Updated 7 months ago
- This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a…☆306Updated last month
- JAX Arrays for human consumption☆92Updated last year
- Materials of the Nordic Probabilistic AI School 2022.☆177Updated 2 years ago
- Structural Time Series in JAX☆190Updated 11 months ago
- Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen☆202Updated last year
- ☆157Updated 2 months ago
- Interactive textbook on state-space models☆187Updated last year
- Linear solvers in JAX and Equinox. https://docs.kidger.site/lineax☆437Updated 2 weeks ago
- Optimal transport tools implemented with the JAX framework, to solve large scale matching problems of any flavor.☆588Updated this week
- Agustinus' very opiniated publication-ready plotting library☆64Updated 3 months ago
- Likelihood-free AMortized Posterior Estimation with PyTorch☆127Updated 8 months ago
- Running Jax in PyTorch Lightning☆96Updated 4 months ago
- A Python package of computer vision models for the Equinox ecosystem.☆103Updated 9 months ago
- The tiniest of Gaussian Process libraries☆307Updated 3 weeks ago
- A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch☆107Updated last month
- PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks☆444Updated 8 months ago
- ☆150Updated 8 months ago
- This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…☆129Updated 2 years ago
- Tutorials and sampling algorithm comparisons☆75Updated this week
- Parameter-Free Optimizers for Pytorch☆126Updated last year
- Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.☆231Updated last year
- ☆146Updated last year