normal-computing / posteriorsLinks
Uncertainty quantification with PyTorch
☆372Updated last week
Alternatives and similar repositories for posteriors
Users that are interested in posteriors are comparing it to the libraries listed below
Sorting:
- Compositional Linear Algebra☆492Updated 2 months ago
- Oryx is a library for probabilistic programming and deep learning built on top of Jax.☆277Updated last week
- A Python package for probabilistic state space modeling with JAX☆870Updated 2 months ago
- ☆247Updated 3 months ago
- Gaussian processes in JAX and Flax.☆539Updated this week
- Parameter-Free Optimizers for Pytorch☆130Updated last year
- Structural Time Series in JAX☆200Updated last year
- Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/☆470Updated 3 weeks ago
- Materials of the Nordic Probabilistic AI School 2022.☆179Updated 3 years ago
- Agustinus' very opiniated publication-ready plotting library☆69Updated 4 months ago
- State of the art inference for your bayesian models.☆222Updated 5 months ago
- A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.☆260Updated 3 weeks ago
- This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a…☆308Updated 3 months ago
- A Python package of computer vision models for the Equinox ecosystem.☆109Updated last year
- Running Jax in PyTorch Lightning☆113Updated 9 months ago
- A Python library for amortized Bayesian workflows using generative neural networks.☆607Updated this week
- Loopy belief propagation for factor graphs on discrete variables in JAX☆156Updated 11 months ago
- BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.☆954Updated 5 months ago
- This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…☆130Updated 3 years ago
- Interactive textbook on state-space models☆197Updated last year
- JAX Arrays for human consumption☆106Updated 2 months ago
- Deep Learning, an Energy Approach☆211Updated 3 months ago
- Optimal transport tools implemented with the JAX framework, to solve large scale matching problems of any flavor.☆644Updated this week
- ☆189Updated last month
- Neural Networks for JAX☆84Updated last year
- Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen☆216Updated last year
- ☆217Updated this week
- 🧱 Modula software package☆277Updated last month
- Tutorials and sampling algorithm comparisons☆77Updated this week
- Laplace approximations for Deep Learning.☆517Updated 5 months ago