Python variational-inference

Open-source Python projects categorized as variational-inference

Top 6 Python variational-inference Projects

  • pyro

    Deep universal probabilistic programming with Python and PyTorch

  • Project mention: Show HN: Designing Bridges with PyTorch | news.ycombinator.com | 2024-01-11

    Mostly I use pytorch for statistical modeling https://pyro.ai . Under the hood that package uses a lot of Monte Carlo integration and variational methods (i.e. integration by optimization). It does support neural nets, but probably >80% of pyro users stick to simpler hierarchical Bayesian models.

  • PyMC

    Bayesian Modeling and Probabilistic Programming in Python

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

    WorkOS logo
  • GPflow

    Gaussian processes in TensorFlow

  • awesome-normalizing-flows

    Awesome resources on normalizing flows.

  • SelSum

    Abstractive opinion summarization system (SelSum) and the largest dataset of Amazon product summaries (AmaSum). EMNLP 2021 conference paper.

  • microbiome-mvib

    Microbiome-based disease prediction with multimodal variational information bottlenecks, Grazioli et al., PLOS Computational Biology 2022

NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020).

Python variational-inference related posts

Index

What are some of the best open-source variational-inference projects in Python? This list will help you:

Project Stars
1 pyro 8,356
2 PyMC 8,155
3 GPflow 1,794
4 awesome-normalizing-flows 1,300
5 SelSum 44
6 microbiome-mvib 25

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