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Deep universal probabilistic programming with Python and PyTorch
python machine-learning deep-learning pytorch probabilistic-programming bayesian bayesian-inference variational-inference probabilistic-modeling
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
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.
Bayesian Data Analysis course at Aalto
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
python machine-learning time-series orbit regression pytorch forecast bayesian-methods forecasting probabilistic-programming bayesian stan arima regression-models probabilistic bayesian-statistics pyro changepoint pystan exponential-smoothing
A general-purpose probabilistic programming system with programmable inference
machine-learning computer-vision deep-learning robotics julia-language probabilistic-programming bayesian gen differentiable-programming
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.
python interpolation modeling geoscience torch bayesian monte-carlo-simulation implicit uq geology uncertainties uncertainty-analysis complex-geological-models geological
LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channel attribution information.
Seminars DeepBayes Summer School 2018
Bayesian Data Analysis demos for Python
📜 🎉 Automated reporting of objects in R
r apa reporting models automatic reports report rstats scientific bayesian r-package manuscript hacktoberfest statsmodels describe automated-report-generation easystats anovas
How to do Bayesian statistical modelling using numpy and PyMC3
👻 Utilities for analyzing Bayesian models and posterior distributions
map r rstats bayesian hacktoberfest rope bayes-factors posterior-distributions hdi bayesfactor easystats credible-interval bayesian-framework
Bayesian Data Analysis demos for R
PyTorch implementation of bayesian neural network [torchbnn]
A collection of Bayesian data analysis recipes using PyMC3
notebook bayesian-methods neural-networks bayesian bayesian-inference bayesian-data-analysis bayesian-statistics bayesian-analysis treatment-groups
Bayesian Deep Learning: A Survey
machine-learning deep-learning survey neural-networks bayesian arxiv bayesian-deep-learning variational-autoencoders bdl
Python package for Bayesian Machine Learning with scikit-learn API
A python library for Bayesian time series modeling
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