bayesian-statistics

Open-source projects categorized as bayesian-statistics
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Language: + Python + Jupyter Notebook + R + HTML + C++ + Stan + Fortran
Topics: Python Machine Learning bayesian-inference Stan bayesian-methods
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Top 16 bayesian-statistic Open-Source Projects

  • deep-learning-drizzle

    Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

  • interviews.ai

    It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers will find it fascinating as well.

  • 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.

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  • 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

  • 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.)

  • prml

    Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop (by gerdm)

  • orbit

    A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood. (by uber)

  • GPflow

    Gaussian processes in TensorFlow

  • SaaSHub

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  • rstan

    RStan, the R interface to Stan

  • covid19model

    Code for modelling estimated deaths and cases for COVID19.

  • rethinking-numpyro

    Statistical Rethinking (2nd ed.) with NumPyro

  • ebisu

    Public-domain Python library for flashcard quiz scheduling using Bayesian statistics. (JavaScript, Java, Dart, and other ports available!)

    • Project mention: Anki – Powerful, intelligent flash cards | news.ycombinator.com | 2024-01-27

    I really wish something like https://github.com/fasiha/ebisu becomes the norm. That is, the idea of fitting the cards to your time (by prioritising) rather than you having to do everything there software wants.

    The only bit missing is some algorithm deciding how often to introduce new cards based on your historical data.

  • paramonte

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

  • BayesCog_Wien

    Teaching materials for BayesCog at Faculty of Psychology, University of Vienna

  • Bayesian-Statistics-Econometrics

    Bayesian Statistics-Econometrics

    • Project mention: Python for Econometrics for Practitioners [Free Online Courses] | /r/CompSocial | 2023-08-24

    Bayesian Statistics with Python: Bayesian statistics is the last pillar of quantitative framework, also the most challenging subject. The course will explore the algorithms of Markov chain Monte Carlo (MCMC), specifically Metropolis-Hastings, Gibbs Sampler and etc., we will build up our own toy model from crude Python functions. In the meanwhile, we will cover the PyMC3, which is a library for probabilistic programming specializing in Bayesian statistics.

  • bayesian-testing

    Bayesian A/B testing

  • bbai

    Deterministic algorithms for objective Bayesian inference and hyperparameter optimization

    • Project mention: Cubic Spline Interpolation | news.ycombinator.com | 2023-10-22

    > In fact, polynomial interpolants in Chebyshev points are problem-free when evaluated by the barycentric interpolation formula. They have teh same behavior as discrete Fourier series for period functions, whose reliability nobody worries about. The introduction of splines is a red herring: the true advantage of splines is not that they converge where polynomials fail to do so, but that they are more easility adapted to irregular point distributions and more localized.

    You can see also the software package https://www.chebfun.org/ for Chebyshev interpolations with Matlap and https://github.com/rnburn/bbai for interpolation Chebyshev interpolations of arbitrary dimension functions with sparse grids for Python.

  • 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).

bayesian-statistics related posts

Index

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

Project Stars
1 deep-learning-drizzle 11,772
2 interviews.ai 4,437
3 stan 2,523
4 pymc-resources 1,893
5 prml 1,862
6 orbit 1,805
7 GPflow 1,799
8 rstan 1,009
9 covid19model 943
10 rethinking-numpyro 427
11 ebisu 303
12 paramonte 240
13 BayesCog_Wien 128
14 Bayesian-Statistics-Econometrics 71
15 bayesian-testing 66
16 bbai 42

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