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The Wayback Machine - https://web.archive.org/web/20221011062833/https://github.com/topics/bayesian
Here are
769 public repositories
matching this topic...
Deep universal probabilistic programming with Python and PyTorch
Updated
Oct 2, 2022
Python
Python for《Deep Learning》,该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现
Updated
Jun 23, 2020
Python
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.
A general-purpose probabilistic programming system with programmable inference
Updated
Oct 4, 2022
Julia
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
Updated
Sep 14, 2022
Python
Exploratory analysis of Bayesian models with Python
Updated
Oct 10, 2022
Python
Seminars DeepBayes Summer School 2018
Updated
Aug 24, 2019
Jupyter Notebook
Bayesian Data Analysis demos for Python
Updated
Dec 16, 2021
Jupyter Notebook
GemPy is an open-source, Python-based 3-D structural geological modeling software, which allows the implicit (i.e. automatic) creation of complex geological models from interface and orientation data. It also offers support for stochastic modeling to address parameter and model uncertainties.
Updated
Oct 4, 2022
Python
How to do Bayesian statistical modelling using numpy and PyMC3
Updated
Jul 11, 2022
Jupyter Notebook
📜 🎉 Automated reporting of objects in R
A collection of Bayesian data analysis recipes using PyMC3
Updated
Jun 13, 2022
Jupyter Notebook
Bayesian Data Analysis demos for R
👻 Utilities for analyzing Bayesian models and posterior distributions
Python package for Bayesian Machine Learning with scikit-learn API
Updated
Sep 22, 2021
Jupyter Notebook
A python library for Bayesian time series modeling
Updated
Feb 24, 2021
Python
Bayesian Deep Learning: A Survey
bayesplot R package for plotting Bayesian models
High-performance Bayesian Data Analysis on the GPU in Clojure
Updated
Sep 10, 2020
Clojure
🔗 Methods for Correlation Analysis
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