bayesian-statistics

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kmario23 /deep-learning-drizzle

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Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

machine-learning natural-language-processing deep-neural-networks reinforcement-learning computer-vision deep-learning optimization probability deep-reinforcement-learning medical-imaging speech-recognition artificial-neural-networks pattern-recognition probabilistic-graphical-models bayesian-statistics artificial-intelligence-algorithms visual-recognition geometric-deep-learning explainable-ai graph-neural-networks

UpdatedOct 19, 2024
HTML

BoltzmannEntropy /interviews.ai

Star4.6k

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.

python data-science machine-learning deep-learning information-theory jobs pytorch autograd artificial-intelligence feature-extraction ensemble-learning logistic-regression convolutional-neural-networks bayesian-statistics loss-functions interview-preparation pytorch-tutorial graduate-school jax

UpdatedJan 21, 2022

stan-dev /stan

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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-methods bayesian bayesian-inference stan bayesian-data-analysis bayesian-statistics

UpdatedJul 10, 2025
C++

markdregan /Bayesian-Modelling-in-Python

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A python tutorial on bayesian modeling techniques (PyMC3)

python tutorial pymc bayesian-statistics

UpdatedApr 29, 2017
Jupyter Notebook

gerdm /prml

Star2.4k

Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop

python machine-learning pattern-recognition prml bayesian-statistics

UpdatedJul 25, 2022
Jupyter Notebook

TuringLang /Turing.jl

Star2.1k

Bayesian inference with probabilistic programming.

machine-learning julia-language artificial-intelligence probabilistic-programming bayesian-inference mcmc turing hacktoberfest probabilistic-graphical-models hmc hamiltonian-monte-carlo bayesian-statistics probabilistic-models bayesian-neural-networks probabilistic-inference

UpdatedJul 17, 2025
Julia

pymc-devs /pymc-resources

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Star2k

PyMC educational resources

data-science data-analysis bayesian-inference bayesian-statistics

UpdatedDec 23, 2024
Jupyter Notebook

uber /orbit

Star2k

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

UpdatedJun 5, 2025
Python

AllenDowney /ThinkBayes2

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Text and code for the second edition of Think Bayes, by Allen Downey.

python jupyter bayes bayesian-statistics

UpdatedJan 5, 2025
Jupyter Notebook

GPflow /GPflow

Star1.9k

Gaussian processes in TensorFlow

machine-learning deep-learning tensorflow ml gaussian-processes variational-inference bayesian-statistics markov-chain-monte-carlo stochastic-processes gp gpflow

UpdatedMay 29, 2025
Python

raphaelvallat /pingouin

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Statistical package in Python based on Pandas

statistics statistical-methods pandas statistical-tests circular-statistics anova bayesian-statistics multiple-comparisons effect-size cohens-d correlations ttest

UpdatedMar 14, 2025
Python

kumar-shridhar /PyTorch-BayesianCNN

Star1.5k

Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

python pytorch bayesian-network image-recognition convolutional-neural-networks bayesian-inference bayes bayesian-networks variational-inference bayesian-statistics bayesian-neural-networks variational-bayes bayesian-deep-learning pytorch-cnn bayesian-convnets bayes-by-backprop aleatoric-uncertainties

UpdatedApr 19, 2024
Python

bambinos /bambi

Star1.2k

BAyesian Model-Building Interface (Bambi) in Python.

python statistical-analysis bayesian-inference regression-models bayesian-statistics statistical-modeling

UpdatedJul 14, 2025
Python

stan-dev /rstan

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Star1.1k

RStan, the R interface to Stan

r bayesian-inference stan r-package mcmc bayesian-data-analysis bayesian-statistics

UpdatedJul 10, 2025
R

tirthajyoti /Stats-Maths-with-Python

Star944

General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python

python data-science machine-learning statistics analytics clustering numpy probability mathematics pandas scipy matplotlib inferential-statistics hypothesis-testing anova statsmodels bayesian-statistics numerical-analysis normal-distribution mathematical-programming

UpdatedSep 18, 2022
Jupyter Notebook

ImperialCollegeLondon /covid19model

Star943

Code for modelling estimated deaths and cases for COVID19.

statistical-inference bayesian-statistics statistical-models probabilistic-models statistical-computing intervention-study branching-process renewal-process covid-19

UpdatedMar 29, 2021
Stan

ericmjl /bayesian-stats-modelling-tutorial

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Star666

How to do Bayesian statistical modelling using numpy and PyMC3

pymc bayesian bayesian-inference bayesian-data-analysis bayesian-statistics bayesian-data-science

UpdatedJul 11, 2022
Jupyter Notebook

bayesflow-org /bayesflow

Star581

A Python library for amortized Bayesian workflows using generative neural networks.

deep-learning neural-networks bayesian-statistics computational-modeling generative-models amortized-inference simulation-based-inference generative-ai

UpdatedJul 17, 2025
Python

Ryota-Kawamura /Mathematics-for-Machine-Learning-and-Data-Science-Specialization

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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.

machine-learning calculus linear-regression linear-algebra probability mathematics gradient-descent bayesian-statistics linear-equation mathematical-optimization determinants eigenvalues-and-eigenvectors