normal-computing / posteriorsLinks
Uncertainty quantification with PyTorch
☆377Updated last month
Alternatives and similar repositories for posteriors
Users that are interested in posteriors are comparing it to the libraries listed below
Sorting:
- Compositional Linear Algebra☆498Updated 4 months ago
- Agustinus' very opiniated publication-ready plotting library☆69Updated 6 months ago
- Oryx is a library for probabilistic programming and deep learning built on top of Jax.☆285Updated last month
- Gaussian processes in JAX and Flax.☆558Updated last week
- State of the art inference for your bayesian models.☆231Updated 7 months ago
- ☆248Updated 5 months ago
- This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a…☆310Updated 5 months ago
- Parameter-Free Optimizers for Pytorch☆130Updated last year
- Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/☆504Updated 3 weeks ago
- A Python package for probabilistic state space modeling with JAX☆887Updated 4 months ago
- Materials of the Nordic Probabilistic AI School 2022.☆180Updated 3 years ago
- A Python library for amortized Bayesian workflows using generative neural networks.☆622Updated this week
- Tutorials and sampling algorithm comparisons☆79Updated this week
- Structural Time Series in JAX☆203Updated last year
- Deep Learning, an Energy Approach☆223Updated 5 months ago
- BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.☆977Updated 2 weeks ago
- This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…☆130Updated 3 years ago
- ☆200Updated last month
- Optimal transport tools implemented with the JAX framework, to solve large scale matching problems of any flavor.☆671Updated last week
- A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.☆265Updated 2 months ago
- IVON optimizer for neural networks based on variational learning.☆72Updated last year
- Materials of the Nordic Probabilistic AI School 2023.☆91Updated 2 years ago
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆105Updated 2 years ago
- Likelihood-free AMortized Posterior Estimation with PyTorch☆131Updated last year
- Notes for the Numerics of Machine Learning Lecture Course at the University of T übingen☆222Updated last year
- Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.☆240Updated last year
- Laplace approximations for Deep Learning.☆527Updated 7 months ago
- Running Jax in PyTorch Lightning☆114Updated 11 months ago
- ☆606Updated last week
- Loopy belief propagation for factor graphs on discrete variables in JAX☆159Updated last year