Projects in Awesome Lists tagged with bayesian-statistics

https://github.com/kmario23/deep-learning-drizzle

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

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

Last synced: 30 Sep 2024

https://github.com/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.

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

Last synced: 30 Sep 2024

https://github.com/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.

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

Last synced: 31 Jul 2024

https://github.com/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

Last synced: 30 Sep 2024

https://github.com/markdregan/bayesian-modelling-in-python

A python tutorial on bayesian modeling techniques (PyMC3)

bayesian-statistics pymc python tutorial

Last synced: 30 Sep 2024

https://github.com/markdregan/Bayesian-Modelling-in-Python

A python tutorial on bayesian modeling techniques (PyMC3)

bayesian-statistics pymc python tutorial

Last synced: 07 Aug 2024

https://github.com/turinglang/turing.jl

Bayesian inference with probabilistic programming.

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

Last synced: 30 Sep 2024

https://github.com/TuringLang/Turing.jl

Bayesian inference with probabilistic programming.

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

Last synced: 31 Jul 2024

https://github.com/pymc-devs/pymc-resources

PyMC educational resources

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

Last synced: 30 Sep 2024

https://github.com/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

Last synced: 27 Sep 2024

https://github.com/allendowney/thinkbayes2

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

bayes bayesian-statistics jupyter python

Last synced: 27 Sep 2024

https://github.com/gpflow/gpflow

Gaussian processes in TensorFlow

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

Last synced: 30 Sep 2024

https://github.com/GPflow/GPflow

Gaussian processes in TensorFlow

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

Last synced: 01 Aug 2024

https://github.com/AllenDowney/ThinkBayes2

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

bayes bayesian-statistics jupyter python

Last synced: 07 Aug 2024

https://allendowney.github.io/ThinkBayes2/

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

bayes bayesian-statistics jupyter python

Last synced: 02 Aug 2024

https://github.com/gerdm/prml

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

bayesian-statistics machine-learning pattern-recognition prml python

Last synced: 03 Oct 2024

https://github.com/raphaelvallat/pingouin

Statistical package in Python based on Pandas

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

Last synced: 01 Aug 2024

https://github.com/kumar-shridhar/pytorch-bayesiancnn

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

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

Last synced: 30 Sep 2024

https://github.com/kumar-shridhar/PyTorch-BayesianCNN

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

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

Last synced: 31 Jul 2024

https://github.com/bambinos/bambi

BAyesian Model-Building Interface (Bambi) in Python.

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

Last synced: 30 Sep 2024

https://github.com/stan-dev/rstan

RStan, the R interface to Stan

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

Last synced: 30 Sep 2024

https://github.com/tirthajyoti/stats-maths-with-python

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

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

Last synced: 30 Sep 2024

https://github.com/tirthajyoti/Stats-Maths-with-Python

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

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

Last synced: 02 Aug 2024

https://github.com/fehiepsi/rethinking-numpyro

Statistical Rethinking (2nd ed.) with NumPyro

bayesian-statistics causal-inference laplace-approximation markov-chain-monte-carlo numpy python variational-inference

Last synced: 03 Oct 2024

https://github.com/cscherrer/soss.jl

Probabilistic programming via source rewriting

bayesian-inference bayesian-statistics julia julia-language julia-library metaprogramming probabilistic-programming

Last synced: 29 Sep 2024

https://github.com/cscherrer/Soss.jl

Probabilistic programming via source rewriting

bayesian-inference bayesian-statistics julia julia-language julia-library metaprogramming probabilistic-programming

Last synced: 02 Aug 2024

https://github.com/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

Last synced: 02 Aug 2024

https://github.com/IndrajeetPatil/statsExpressions

Tidy data frames and expressions with statistical summaries 📜

bayesian-inference bayesian-statistics contingency-table correlation effectsize meta-analysis parametric robust robust-statistics statistical-details statistical-tests tidy

Last synced: 05 Aug 2024

https://github.com/fasiha/ebisu

Public-domain Python library for flashcard quiz scheduling using Bayesian statistics. (JavaScript, Java, Dart, and other ports available!)

bayesian-statistics monte-carlo probability-density python python3 quiz recall recall-probabilities review spaced-repetition statistical-methods

Last synced: 01 Aug 2024

https://github.com/ksachdeva/rethinking-tensorflow-probability

Statistical Rethinking (2nd Ed) with Tensorflow Probability

bayesian-inference bayesian-statistics markov-chain-monte-carlo statistical-rethinking tensorflow tensorflow-probability tutorials variational-inference

Last synced: 30 Jul 2024

https://github.com/tpapp/dynamichmc.jl

Implementation of robust dynamic Hamiltonian Monte Carlo methods (NUTS) in Julia.

bayesian bayesian-inference bayesian-methods bayesian-statistics hamiltonian-monte-carlo hybrid-monte-carlo julia julia-language

Last synced: 29 Sep 2024

https://github.com/tpapp/DynamicHMC.jl

Implementation of robust dynamic Hamiltonian Monte Carlo methods (NUTS) in Julia.

bayesian bayesian-inference bayesian-methods bayesian-statistics hamiltonian-monte-carlo hybrid-monte-carlo julia julia-language

Last synced: 02 Aug 2024

https://github.com/stan-dev/shinystan

shinystan R package and ShinyStan GUI

bayesian bayesian-data-analysis bayesian-inference bayesian-methods bayesian-statistics mcmc r r-package shiny-apps stan statistical-graphics

Last synced: 13 Aug 2024

https://github.com/brendanhasz/probflow

A Python package for building Bayesian models with TensorFlow or PyTorch

bayesian bayesian-inference bayesian-methods bayesian-neural-networks bayesian-statistics data-science machine-learning python pytorch statistics tensorflow

Last synced: 29 Sep 2024

https://github.com/fehiepsi/rethinking-pyro

Statistical Rethinking with PyTorch and Pyro

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

Last synced: 03 Oct 2024

https://github.com/stan-dev/loo

loo R package for approximate leave-one-out cross-validation (LOO-CV) and Pareto smoothed importance sampling (PSIS)

bayesian bayesian-data-analysis bayesian-inference bayesian-methods bayesian-statistics cross-validation information-criterion model-comparison r-package stan

Last synced: 02 Aug 2024

https://github.com/lawmurray/Birch

A probabilistic programming language that combines automatic differentiation, automatic marginalization, and automatic conditioning within Monte Carlo methods.

autodiff bayesian bayesian-inference bayesian-methods bayesian-statistics data-science machine-learning machine-learning-algorithms machine-learning-projects monte-carlo-methods monte-carlo-sampling probabilistic-programming-languages statistics