bayesian
There are 1030 repositories under bayesian topic.
pyro-ppl/pyro
Deep universal probabilistic programming with Python and PyTorch
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
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.
avehtari/BDA_course_Aalto
Bayesian Data Analysis course at Aalto
uber/orbit
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
probcomp/Gen.jl
A general-purpose probabilistic programming system with programmable inference
arviz-devs/arviz
Exploratory analysis of Bayesian models with Python
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.
bayesgroup/deepbayes-2018
Seminars DeepBayes Summer School 2018
avehtari/BDA_py_demos
Bayesian Data Analysis demos for Python
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.
easystats/report
:scroll: :tada: Automated reporting of objects in R
ericmjl/bayesian-stats-modelling-tutorial
How to do Bayesian statistical modelling using numpy and PyMC3
avehtari/BDA_R_demos
Bayesian Data Analysis demos for R
easystats/bayestestR
:ghost: Utilities for analyzing Bayesian models and posterior distributions
ericmjl/bayesian-analysis-recipes
A collection of Bayesian data analysis recipes using PyMC3
Harry24k/bayesian-neural-network-pytorch
PyTorch implementation of bayesian neural network [torchbnn]
AmazaspShumik/sklearn-bayes
Python package for Bayesian Machine Learning with scikit-learn API
js05212/BayesianDeepLearning-Survey
Bayesian Deep Learning: A Survey
wwrechard/pydlm
A python library for Bayesian time series modeling
easystats/correlation
:link: Methods for Correlation Analysis
stan-dev/bayesplot
bayesplot R package for plotting Bayesian models
stan-dev/rstanarm
rstanarm R package for Bayesian applied regression modeling
uncomplicate/bayadera
High-performance Bayesian Data Analysis on the GPU in Clojure
storopoli/Bayesian-Statistics
Bayesian statistics graduate course
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.
winstxnhdw/AutoCarROS2
A virtual simulation platform for autonomous vehicle sensing, mapping, control and behaviour methods using ROS 2 and Gazebo.
quantumjot/btrack
Bayesian multi-object tracking
elfi-dev/elfi
ELFI - Engine for Likelihood-Free Inference
wujian16/Cornell-MOE
A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.
tpapp/DynamicHMC.jl
Implementation of robust dynamic Hamiltonian Monte Carlo methods (NUTS) in Julia.
josejimenezluna/pyGPGO
Bayesian optimization for Python
wiseodd/probabilistic-models
Collection of probabilistic models and inference algorithms
CCS-Lab/hBayesDM
Hierarchical Bayesian modeling of RLDM tasks, using R & Python
PecanProject/pecan
The Predictive Ecosystem Analyzer (PEcAn) is an integrated ecological bioinformatics toolbox.
pmorerio/dl-uncertainty
"What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?", NIPS 2017 (unofficial code).