bayesian

There are 32 repositories under bayesian topic.

pyro
pyro-ppl / pyro
Deep universal probabilistic programming with Python and PyTorch
bayesian bayesian-inference deep-learning machine-learning probabilistic-modeling probabilistic-programming python pytorch variational-inference
Language:Python 8387
MingchaoZhu / DeepLearning
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
python deep-learning machine-learning xgboost ensemble-learning bayesian regularization
Language:Python 6050
stan-dev / 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.
bayesian bayesian-data-analysis bayesian-inference bayesian-methods bayesian-statistics stan
Language:C++ 2523
orbit
uber / orbit
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
arima bayesian bayesian-methods bayesian-statistics changepoint exponential-smoothing forecast forecasting machine-learning orbit probabilistic probabilistic-programming pyro pystan python pytorch regression regression-models stan time-series
Language:Python 1808
probcomp / Gen.jl
A general-purpose probabilistic programming system with programmable inference
probabilistic-programming gen deep-learning bayesian computer-vision machine-learning differentiable-programming robotics julia-language
Language:Julia 1772
arviz
arviz-devs / arviz
Exploratory analysis of Bayesian models with Python
bayesian closember python
Language:Python 1534
bayesgroup / deepbayes-2018
Seminars DeepBayes Summer School 2018
deep-learning bayesian variational-inference
Language:Jupyter Notebook 1048
avehtari / BDA_py_demos
Bayesian Data Analysis demos for Python
bayesian bayesian-data-analysis bayesian-inference mcmc python stan
Language:Jupyter Notebook 975
gempy-project / gempy
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.
uq bayesian interpolation geology modeling python uncertainty-analysis uncertainties complex-geological-models monte-carlo-simulation implicit geological geoscience torch
Language:Python 907
google / lightweight_mmm
LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channel attribution information.
bayesian econometrics marketing-science mmm data-science
Language:Python 798
report
easystats / report
:scroll: :tada: Automated reporting of objects in R
reporting r apa reports statsmodels bayesian models automated-report-generation easystats rstats manuscript describe report anovas scientific automatic hacktoberfest r-package
Language:R 663
ericmjl / bayesian-stats-modelling-tutorial
How to do Bayesian statistical modelling using numpy and PyMC3
pymc bayesian bayesian-data-science bayesian-inference bayesian-statistics bayesian-data-analysis
Language:Jupyter Notebook 650
avehtari / BDA_R_demos
Bayesian Data Analysis demos for R
bayesian bayesian-data-analysis bayesian-inference mcmc monte-carlo r stan
Language:HTML 552
ericmjl / bayesian-analysis-recipes
A collection of Bayesian data analysis recipes using PyMC3
bayesian-inference bayesian bayesian-statistics bayesian-data-analysis bayesian-analysis bayesian-methods notebook treatment-groups neural-networks
Language:Jupyter Notebook 552
bayestestR
easystats / bayestestR
:ghost: Utilities for analyzing Bayesian models and posterior distributions
bayesian posterior-distributions r rstats easystats rope hdi map credible-interval bayesfactor bayes-factors bayesian-framework hacktoberfest
Language:R 547
AmazaspShumik / sklearn-bayes
Python package for Bayesian Machine Learning with scikit-learn API
bayesian bayesian-machine-learning machine-learning python scikit-learn
Language:Jupyter Notebook 507
js05212 / BayesianDeepLearning-Survey
Bayesian Deep Learning: A Survey
bayesian-deep-learning bdl variational-autoencoders survey arxiv bayesian neural-networks deep-learning machine-learning
493
wwrechard / pydlm
A python library for Bayesian time series modeling
time-series timeseries bayesian python dlm model seasonality trends statistics
Language:Python 468
Harry24k / bayesian-neural-network-pytorch
PyTorch implementation of bayesian neural network.
bayesian deep-learning neural-network pytorch
Language:Python 443
stan-dev / bayesplot
bayesplot R package for plotting Bayesian models
bayesian ggplot2 mcmc pandoc r-package stan statistical-graphics visualization
Language:R 416
correlation
easystats / correlation
:link: Methods for Correlation Analysis
correlation r easystats bayesian partial-correlations gaussian-graphical-models regression correlations matrix bayesian-correlations correlation-analysis multilevel-correlations partial outliers robust cor spearman gamma biserial hacktoberfest
Language:R 414
stan-dev / rstanarm
rstanarm R package for Bayesian applied regression modeling
bayesian bayesian-data-analysis bayesian-inference bayesian-methods bayesian-statistics multilevel-models r r-package rstan rstanarm stan statistical-modeling
Language:R 374
uncomplicate / bayadera
High-performance Bayesian Data Analysis on the GPU in Clojure
clojure bayesian-inference bayesian-data-analysis gpu-computing gpu-acceleration statistics machine-learning clojure-library bayesian opencl cuda high-performance-computing gpu mcmc markov-chain-monte-carlo
Language:Clojure 361
storopoli / Bayesian-Statistics
This repository holds slides and code for a full Bayesian statistics graduate course.
bayesian bayesian-statistics course julia probabilistic-programming probability stan turing
Language:Typst 326
btrack
quantumjot / btrack
Bayesian multi-object tracking
tracking-algorithm object-tracking kalman-filter optimization bayesian multi-object-tracking cell-tracking btrack
Language:Python 303
elfi
elfi-dev / elfi
ELFI - Engine for Likelihood-Free Inference
bayesian bayesian-inference inference likelihood-free python simulator statistics
Language:Python 261
wujian16 / Cornell-MOE
A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.
bayesian bayesian-optimization machine-learning gaussian-processes hyperparameter-optimization optimization
Language:C++ 255
SHI-Yu-Zhe / awesome-agi-cocosci
An awesome & curated list for Artificial General Intelligence, an emerging inter-discipline field that combines artificial intelligence and computational cognitive sciences.
awesome artificial-general-intelligence computational-cognitive-science abduction bayesian pragmatics theory-of-mind language-of-thought logic-programming developmental-psychology planning intuitive-physics explainable-ai hybrid-system analogy commonsense scientific-discovery general-pattern-theory awesome-list mind-simulation
Language:TeX 250
tpapp / DynamicHMC.jl
Implementation of robust dynamic Hamiltonian Monte Carlo methods (NUTS) in Julia.
julia-language hybrid-monte-carlo bayesian-inference bayesian-methods bayesian hamiltonian-monte-carlo julia bayesian-statistics
Language:Julia 240
wiseodd / probabilistic-models
Collection of probabilistic models and inference algorithms
probabilistic-models python machine-learning bayesian bayesian-inference mcmc gibbs-sampling variational-inference dirichlet-process
Language:Python 239
josejimenezluna / pyGPGO
Bayesian optimization for Python
bayesian machine-learning optimization
Language:Python 236
hBayesDM
CCS-Lab / hBayesDM
Hierarchical Bayesian modeling of RLDM tasks, using R & Python
bayesian computational modeling reinforcement-learning decision-making hierarchical-bayesian-analysis
Language:TeX 212
pmorerio / dl-uncertainty
"What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?", NIPS 2017 (unofficial code).
deep-learning bayesian uncertainty computer-vision
Language:Python 205
pecan
PecanProject / pecan
The Predictive Ecosystem Analyzer (PEcAn) is an integrated ecological bioinformatics toolbox.
ecosystem-model pecan r national-science-foundation ecosystem-science bayesian plants meta-analysis data-science data-assimilation forecasting cyberinfrastructure
Language:R 198
stan-dev / shinystan
shinystan R package and ShinyStan GUI
stan mcmc r-package statistical-graphics shiny-apps r bayesian bayesian-statistics bayesian-inference bayesian-data-analysis bayesian-methods
Language:R 194
Miscellaneous-R-Code
m-clark / Miscellaneous-R-Code
Code that might be useful to others for learning/demonstration purposes, specifically along the lines of modeling and various algorithms. **Superseded by the models-by-example repo**.
r stan jags matlab julia python bayesian mixed-models gaussian-processes factor-analysis pca em survival-analysis ordinal-regression probit irt mixture-model zip additive-models machine-learning
Language:R 189