Python bayesian-inference

Open-source Python projects categorized as bayesian-inference
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Topics: Machine Learning probabilistic-programming Python Deep Learning variational-inference
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Top 13 Python bayesian-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

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  • causalnex

    A Python library that helps data scientists to infer causation rather than observing correlation.

  • numpyro

    Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.

    • Project mention: Bayesian Analysis with Python | news.ycombinator.com | 2024-02-10

  • awesome-normalizing-flows

    Awesome resources on normalizing flows.

  • bambi

    BAyesian Model-Building Interface (Bambi) in Python.

    • Project mention: Bayesian Structural Equation Modeling using blavaan | news.ycombinator.com | 2023-11-09

    It is much less challenging with Bambi[1] and brms[2].

      [1] https://bambinos.github.io/bambi/

  • fortuna

    A Library for Uncertainty Quantification.

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  • blackjax

    BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.

    • Project mention: AutoBNN: Probabilistic Time Series Forecasting | news.ycombinator.com | 2024-03-30

    What are the other four frameworks?

    > For one, who wants to do stuff in tensorflow anymore let alone tensorflow-probability.

    AutoBNN is a JAX library and has nothing to do technically with TF Probability. It was developed by the TF Probability team.

    > DL community prefers pytorch and stats community prefers Stan.

    It looks like the JAX ecosystem for stats is growing: NumPyro is based on JAX, PyMC has a JAX backend, https://github.com/blackjax-devs/blackjax has effective samplers, there is https://github.com/jax-ml/bayeux, and now AutoBNN.

    > This one seems theoretically more interesting than some others but practically less useful.

    Are there other factors why you think AutoBNN is not practically useful, apart from being based on the wrong foundation (which was a mistaken belief of yours)?

  • pytensor

    PyTensor allows you to define, optimize, and efficiently evaluate mathematical expressions involving multi-dimensional arrays.

  • cobaya

    Code for Bayesian Analysis

  • gammy

    :octopus: Generalized additive models in Python with a Bayesian twist (by malmgrek)

  • Gumbi

    Gaussian Process Model Building Interface

  • skbel

    SKBEL - Bayesian Evidential Learning framework built on top of scikit-learn.

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 bayesian-inference related posts

Index

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

Project Stars
1 pyro 8,356
2 PyMC 8,155
3 causalnex 2,140
4 numpyro 2,039
5 awesome-normalizing-flows 1,300
6 bambi 1,011
7 fortuna 850
8 blackjax 721
9 pytensor 244
10 cobaya 118
11 gammy 75
12 Gumbi 48
13 skbel 20

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