bayesian-inference

Open-source projects categorized as bayesian-inference
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Language: + Python + Jupyter Notebook + Julia + R + C++ + C# + Fortran + MATLAB
Topics: Machine Learning Mcmc Python gaussian-processes probabilistic-programming
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Top 23 bayesian-inference Open-Source 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

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  • stan

    Stan development repository. The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.

    Project mention: Stan: Statistical modeling and high-performance statistical computation | news.ycombinator.com | 2024-03-04

  • neural-tangents

    Fast and Easy Infinite Neural Networks in Python

    Project mention: Any Deep ReLU Network Is Shallow | news.ycombinator.com | 2023-06-23

    is used to capture the power of a fully-trained deep net of infinite width.

    https://openreview.net/pdf?id=rkl4aESeUH, https://github.com/google/neural-tangents

    > It has long been known that a single-layer fully-connected neural network with an i.i.d. prior over its parameters is equivalent to a Gaussian process (GP), in the limit of infinite network width.

    https://arxiv.org/abs/1711.00165

    And of course, one needs to look back at SVMs applying a kernel function and separating with a line, which looks a lot like an ANN with a single hidden layer followed by a linear mapping.

    https://stats.stackexchange.com/questions/238635/kernel-meth...

  • 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

  • pymc-resources

    PyMC educational resources

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

    As it happens, there's a PyMC implementation of the 1st and 2nd editions of Statistical Rethinking here:

    https://github.com/pymc-devs/pymc-resources

    (I think the author of the book discussed above, Osvaldo Martin, is the primary or sole contributor for the Rethinking implementations, in fact -- he had a full implementation in his own repo [here](https://github.com/aloctavodia/Statistical-Rethinking-with-P...) before deprecating it in favor of the above-linked one.)

  • 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.

  • infer

    Infer.NET is a framework for running Bayesian inference in graphical models (by dotnet)

    Project mention: Rxinfer: Automatic Bayesian Inference Through Reactive Message Passing | news.ycombinator.com | 2023-11-24

    A closer library is Infer.NET: https://dotnet.github.io/infer

    It includes a really mature compiler that generates very efficient message passing and variational inference, with support for online inference, which is the main focus on Rxinfer.

    You can call Infer.NET from Python in a number of ways, despite it is not a CPython library.

  • awesome-normalizing-flows

    Awesome resources on normalizing flows.

  • brms

    brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan

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

    [2] https://paul-buerkner.github.io/brms/

  • 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/

  • rstan

    RStan, the R interface to Stan

  • fortuna

    A Library for Uncertainty Quantification.

  • DSGE.jl

    Solve and estimate Dynamic Stochastic General Equilibrium models (including the New York Fed DSGE)

    Project mention: Jdf.jl – Julia DataFrames serialization format | news.ycombinator.com | 2023-07-15

  • 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)?

  • Stheno.jl

    Probabilistic Programming with Gaussian processes in Julia

  • pytensor

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

  • paramonte

    ParaMonte: Parallel Monte Carlo and Machine Learning Library for Python, MATLAB, Fortran, C++, C.

  • looper

    A resource list for causality in statistics, data science and physics

    Project mention: A resource list for causality in statistics, data science and physics | news.ycombinator.com | 2023-09-02

  • vbmc

    Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB

  • indaba-pracs-2022

    Notebooks for the Practicals at the Deep Learning Indaba 2022.

  • InvertibleNetworks.jl

    A Julia framework for invertible neural networks

  • cobaya

    Code for Bayesian Analysis

  • SaaSHub

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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). The latest post mention was on 2024-03-30.

bayesian-inference related posts

Index

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

Project Stars
1 pyro 8,342
2 PyMC 8,125
3 stan 2,515
4 neural-tangents 2,217
5 causalnex 2,135
6 numpyro 2,025
7 pymc-resources 1,877
8 infer 1,534
9 awesome-normalizing-flows 1,292
10 brms 1,228
11 bambi 1,009
12 rstan 1,001
13 fortuna 845
14 DSGE.jl 842
15 blackjax 709
16 Stheno.jl 332
17 pytensor 240
18 paramonte 236
19 looper 235
20 vbmc 210
21 indaba-pracs-2022 172
22 InvertibleNetworks.jl 141
23 cobaya 114

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