bayesian-statistics
There are 955 repositories under bayesian-statistics topic.
kmario23/deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
BoltzmannEntropy/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.
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.
markdregan/Bayesian-Modelling-in-Python
A python tutorial on bayesian modeling techniques (PyMC3)
gerdm/prml
Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop
TuringLang/Turing.jl
Bayesian inference with probabilistic programming.
pymc-devs/pymc-resources
PyMC educational resources
uber/orbit
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
AllenDowney/ThinkBayes2
Text and code for the second edition of Think Bayes, by Allen Downey.
GPflow/GPflow
Gaussian processes in TensorFlow
raphaelvallat/pingouin
Statistical package in Python based on Pandas
kumar-shridhar/PyTorch-BayesianCNN
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
bambinos/bambi
BAyesian Model-Building Interface (Bambi) in Python.
stan-dev/rstan
RStan, the R interface to Stan
tirthajyoti/Stats-Maths-with-Python
General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python
ImperialCollegeLondon/covid19model
Code for modelling estimated deaths and cases for COVID19.
Ryota-Kawamura/Mathematics-for-Machine-Learning-and-Data-Science-Specialization
Master the Toolkit of AI and Machine Learning. Mathematics for Machine Learning and Data Science is a beginner-friendly Specialization where you’ll learn the fundamental mathematics toolkit of machine learning: calculus, linear algebra, statistics, and probability.
ericmjl/bayesian-stats-modelling-tutorial
How to do Bayesian statistical modelling using numpy and PyMC3
bayesflow-org/bayesflow
A Python library for amortized Bayesian workflows using generative neural networks.
ericmjl/bayesian-analysis-recipes
A collection of Bayesian data analysis recipes using PyMC3
fehiepsi/rethinking-numpyro
Statistical Rethinking (2nd ed.) with NumPyro
cscherrer/Soss.jl
Probabilistic programming via source rewriting
stan-dev/rstanarm
rstanarm R package for Bayesian applied regression modeling
storopoli/Bayesian-Statistics
Bayesian statistics graduate course
fasiha/ebisu
Public-domain Python library for flashcard quiz scheduling using Bayesian statistics. (JavaScript, Java, Dart, and other ports available!)
hakaru-dev/hakaru
A probabilistic programming language
IndrajeetPatil/statsExpressions
Tidy data frames and expressions with statistical summaries 📜
cdslaborg/paramonte
ParaMonte: Parallel Monte Carlo and Machine Learning Library for Python, MATLAB, Fortran, C++, C.
ksachdeva/rethinking-tensorflow-probability
Statistical Rethinking (2nd Ed) with Tensorflow Probability
tpapp/DynamicHMC.jl
Implementation of robust dynamic Hamiltonian Monte Carlo methods (NUTS) in Julia.
bat/BAT.jl
A Bayesian Analysis Toolkit in Julia
stan-dev/shinystan
shinystan R package and ShinyStan GUI
brendanhasz/probflow
A Python package for building Bayesian models with TensorFlow or PyTorch
storopoli/Bayesian-Julia
Bayesian Statistics using Julia and Turing
nicholasjclark/mvgam
{mvgam} R 📦 to fit Dynamic Bayesian Generalized Additive Models for multivariate modeling and forecasting