Projects in Awesome Lists tagged with bayesian-inference

https://github.com/ddbourgin/numpy-ml

Machine learning, in numpy

attention bayesian-inference gaussian-mixture-models gaussian-processes good-turing-smoothing gradient-boosting hidden-markov-models knn lstm machine-learning mfcc neural-networks reinforcement-learning resnet topic-modeling vae wavenet wgan-gp word2vec

Last synced: 29 Sep 2024

https://github.com/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

Last synced: 29 Sep 2024

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

Bayesian Modeling and Probabilistic Programming in Python

bayesian-inference mcmc probabilistic-programming pytensor python statistical-analysis variational-inference

Last synced: 29 Sep 2024

https://github.com/pymc-devs/pymc3

Bayesian Modeling and Probabilistic Programming in Python

bayesian-inference mcmc probabilistic-programming pytensor python statistical-analysis variational-inference

Last synced: 04 Aug 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/google/neural-tangents

Fast and Easy Infinite Neural Networks in Python

bayesian-inference bayesian-networks deep-networks gaussian-processes gradient-descent gradient-flow infinite-networks jax kernel kernel-computation neural-networks neural-tangents training-dynamics

Last synced: 30 Sep 2024

https://github.com/mckinsey/causalnex

A Python library that helps data scientists to infer causation rather than observing correlation.

bayesian-inference bayesian-networks causal-inference causal-models causal-networks causalnex data-science machine-learning

Last synced: 30 Sep 2024

https://github.com/thu-ml/zhusuan

A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow

bayesian-inference deep-learning generative-models graphical-models probabilistic-programming

Last synced: 30 Jul 2024

https://github.com/quantumblacklabs/causalnex

A Python library that helps data scientists to infer causation rather than observing correlation.

bayesian-inference bayesian-networks causal-inference causal-models causal-networks causalnex data-science machine-learning

Last synced: 04 Aug 2024

https://github.com/avehtari/bda_course_aalto

Bayesian Data Analysis course at Aalto

bayes bayesian bayesian-data-analysis bayesian-inference bayesian-methods bayesian-workflow

Last synced: 01 Oct 2024

https://github.com/pyro-ppl/numpyro

Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.

bayesian-inference hmc inference-algorithms jax mcmc numpy probabilistic-programming pyro

Last synced: 01 Oct 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/javierantoran/bayesian-neural-networks

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

approximate-inference bayes-by-backprop bayesian-inference bayesian-neural-networks classification deep-learning hmc kronecker-factored-approximation langevin-dynamics local-reparametrization-trick mc-dropout mcmc out-of-distribution-detection pytorch regression reproducible-research sgld uncertainty uncertainty-neural-networks variational-inference

Last synced: 30 Sep 2024

https://github.com/JavierAntoran/Bayesian-Neural-Networks

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

approximate-inference bayes-by-backprop bayesian-inference bayesian-neural-networks classification deep-learning hmc kronecker-factored-approximation langevin-dynamics local-reparametrization-trick mc-dropout mcmc out-of-distribution-detection pytorch regression reproducible-research sgld uncertainty uncertainty-neural-networks variational-inference

Last synced: 02 Aug 2024

https://github.com/dotnet/infer

Infer.NET is a framework for running Bayesian inference in graphical models

bayesian-inference machine-learning

Last synced: 27 Sep 2024

https://dotnet.github.io/infer/

Infer.NET is a framework for running Bayesian inference in graphical models

bayesian-inference machine-learning

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://paul-buerkner.github.io/brms/

brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan

bayesian-inference brms multilevel-models r-package stan statistical-models

Last synced: 04 Aug 2024

https://github.com/paul-buerkner/brms

brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan

bayesian-inference brms multilevel-models r-package stan statistical-models

Last synced: 30 Sep 2024

https://github.com/pptacher/probabilistic_robotics

solution of exercises of the book "probabilistic robotics"

armadillo-library autonomous-vehicles bayesian-inference cpp fastslam google-cloud-platform intel-mkl-library julia kalman-filter lapack matlab navigation numpy particle-filter probabilistic-robotics robotics seif slam textbook-solutions victoria-park-dataset

Last synced: 01 Oct 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/avehtari/BDA_py_demos

Bayesian Data Analysis demos for Python

bayesian bayesian-data-analysis bayesian-inference mcmc python stan

Last synced: 07 Aug 2024

https://github.com/brylevkirill/notes

Learn about Machine Learning and Artificial Intelligence

artificial-intelligence bayesian-inference causal-inference deep-learning information-retrieval knowledge-graph knowledge-representation machine-learning natural-language-processing probabilistic-programming question-answering reasoning recommender-systems reinforcement-learning

Last synced: 31 Jul 2024

https://github.com/awslabs/fortuna

A Library for Uncertainty Quantification.

ai bayesian-inference calibration conformal-prediction deep-learning flax jax machine-learning ml model-calibration neural-networks uncertainty uncertainty-calibration uncertainty-estimation uncertainty-quantification

Last synced: 31 Jul 2024

https://github.com/blackjax-devs/blackjax

BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.

bayesian-inference hamiltonian-monte-carlo probabilistic-programming sampling-methods

Last synced: 01 Aug 2024

https://github.com/JWarmenhoven/DBDA-python

Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code

bayesian-data-analysis bayesian-inference hierarchical-models kruschke mcmc probabilistic-programming pymc3

Last synced: 30 Jul 2024

https://github.com/avehtari/BDA_R_demos

Bayesian Data Analysis demos for R

bayesian bayesian-data-analysis bayesian-inference mcmc monte-carlo r stan

Last synced: 30 Jul 2024

https://github.com/mackelab/sbi

Simulation-based inference toolkit

bayesian-inference likelihood-free-inference machine-learning parameter-estimation pytorch simulation-based-inference

Last synced: 24 Aug 2024

https://github.com/sbi-dev/sbi

Simulation-based inference toolkit

bayesian-inference likelihood-free-inference machine-learning parameter-estimation pytorch simulation-based-inference

Last synced: 02 Aug 2024

https://github.com/dawenl/vae_cf

Variational autoencoders for collaborative filtering

bayesian-inference collaborative-filtering recommender-systems variational-autoencoder

Last synced: 07 Aug 2024

https://github.com/erdogant/bnlearn

Python library for learning the graphical structure of Bayesian networks, parameter learning, inference and sampling methods.

bayesian-inference causal causal-models causal-networks causality-analysis dag directed-acyclic-graph machine-learning parameter-learning python sampling-methods structure-learning

Last synced: 01 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: 02 Aug 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/nchopin/particles

Sequential Monte Carlo in python

bayesian-inference kalman-filter particle-filter pmcmc quasi-monte-carlo sequential-monte-carlo smc2

Last synced: 02 Aug 2024

https://github.com/thomaspinder/GPJax

Gaussian processes in JAX.

bayesian-inference gaussian-processes jax machine-learning probabilistic-programming

Last synced: 04 Aug 2024

https://github.com/JaxGaussianProcesses/GPJax

Gaussian processes in JAX.

bayesian-inference gaussian-processes jax machine-learning probabilistic-programming

Last synced: 02 Aug 2024

https://github.com/JuliaMath/MeasureTheory.jl

"Distributions" that might not add to one.

bayesian-inference julia machine-learning probabilistic-programming probability statistics

Last synced: 31 Jul 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/uncomplicate/bayadera

High-performance Bayesian Data Analysis on the GPU in Clojure

bayesian bayesian-data-analysis bayesian-inference clojure clojure-library cuda gpu gpu-acceleration gpu-computing high-performance-computing machine-learning markov-chain-monte-carlo mcmc opencl statistics

Last synced: 02 Aug 2024

https://github.com/ctallec/pyvarinf

Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch

bayesian-inference deep-learning

Last synced: 31 Jul 2024

https://github.com/wiseodd/MCMC

Collection of Monte Carlo (MC) and Markov Chain Monte Carlo (MCMC) algorithms applied on simple examples.

bayesian-inference machine-learning markov-chain-monte-carlo mcmc sampling-methods

Last synced: 02 Aug 2024

https://github.com/joshspeagle/dynesty

Dynamic Nested Sampling package for computing Bayesian posteriors and evidences

bayesian-inference mit-license model-selection monte-carlo nested-sampling pure-python

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/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/elfi-dev/elfi

ELFI - Engine for Likelihood-Free Inference

bayesian bayesian-inference inference likelihood-free python simulator statistics

Last synced: 02 Aug 2024

https://github.com/stefanradev93/BayesFlow

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

amortized-inference bayesian-inference deep-learning invertible-networks likelihood-free model-comparison parameter-estimation simulation-based uncertainty-quantification

Last synced: 03 Aug 2024

https://github.com/msuzen/looper

A resource list for causality in statistics, data science and physics

bayesian-inference causal causal-discovery causal-impact causal-inference causal-machine-learning causal-models causal-networks causality causality-algorithms causality-analysis causation data-science machine-learning meta-learning physics statistical-inference statistical-mechanics statistical-physics statistics

Last synced: 02 Aug 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/pymc-devs/pytensor

PyTensor allows you to define, optimize, and efficiently evaluate mathematical expressions involving multi-dimensional arrays.

ai bayesian-inference computational-science deep-learning statistics

Last synced: 28 Sep 2024

https://github.com/minaskar/zeus

⚡️ zeus: Lightning Fast MCMC ⚡️

bayesian-inference black-box-bayesian-inference general-purpose inference machine-learning mcmc mcmc-sampler probabilistic-data-analysis python sampling sampling-methods

Last synced: 05 Aug 2024

https://github.com/probcomp/PClean

A domain-specific probabilistic programming language for scalable Bayesian data cleaning

bayesian-inference data-cleaning data-cleansing probabilistic-graphical-models probabilistic-programming

Last synced: 02 Aug 2024

https://github.com/mirceamironenco/BayesianRecurrentNN

Implementation of Bayesian Recurrent Neural Networks by Fortunato et. al

bayesian-inference deep-learning machine-learning

Last synced: 07 Aug 2024

https://github.com/acerbilab/vbmc

Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB

bayesian-inference data-analysis gaussian-processes machine-learning matlab variational-inference

Last synced: 31 Jul 2024

https://github.com/translationalneuromodeling/tapas

TAPAS - Translational Algorithms for Psychiatry-Advancing Science

bayesian-inference behavioral computational eeg fmri hierarchical-models neurology neuroscience psychiatry psychosomatics statistical-learning

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/ziatdinovmax/gpax

Gaussian Processes for Experimental Sciences

active-learning bayesian-inference bayesian-neural-networks bayesian-optimization deep-kernel-learning gaussian-processes hypothesis-learning machine-learning multi-fidelity-learning

Last synced: 01 Aug 2024

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

Implementation of normalising flows and constrained random variable transformations

bayesian-inference mcmc-sampler transforms turing-language

Last synced: 31 Jul 2024

https://github.com/jeff-regier/Celeste.jl

Scalable inference for a generative model of astronomical images

astronomical-catalogs astronomical-images astronomy bayesian-inference graphical-models variational-inference

Last synced: 02 Aug 2024

https://github.com/junpenglao/GLMM-in-Python

Generalized linear mixed-effect model in Python

bayesian-inference glmm linear-mixed-models pymc3 statistics

Last synced: 02 Aug 2024

https://github.com/hao-lh/the-books-making-you-better

A list of time-lasting classic books, which not only help you figure out how it works, but also grasp when it works and why it works in that way.

bayesian-inference computer-architecture computer-vision deep-learning high-performance-computing linear-algebra machine-learning probabilistic-graphical-models reinforcement-learning statistical-learning

Last synced: 01 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/slimgroup/invertiblenetworks.jl

A Julia framework for invertible neural networks

bayesian-inference deep-invertible-networks deep-learning invertible-1x1-convolutions invertible-neural-networks julia julia-language machine-learning normalizing-flow normalizing-flows

Last synced: 29 Sep 2024

https://github.com/slimgroup/InvertibleNetworks.jl

A Julia framework for invertible neural networks

bayesian-inference deep-invertible-networks deep-learning invertible-1x1-convolutions invertible-neural-networks julia julia-language machine-learning normalizing-flow normalizing-flows

Last synced: 31 Jul 2024

https://github.com/nimble-dev/nimble

The base NIMBLE package for R

bayesian-inference bayesian-methods hierarchical-models mcmc probabilistic-programming r

Last synced: 02 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/ermongroup/a-nice-mc

Code for "A-NICE-MC: Adversarial Training for MCMC"

bayesian-inference bayesian-machine-learning generative-adversarial-network generative-models markov-chain markov-chain-monte-carlo neural-networks tensorflow tensorflow-experiments

Last synced: 29 Sep 2024

https://github.com/lmc2179/bayesian_bootstrap

bayesian bootstrapping in python

bayesian-inference bootstrap bootstrap-resampling posterior-distributions posterior-samples python

Last synced: 01 Aug 2024

https://github.com/baggepinnen/LowLevelParticleFilters.jl

State estimation, smoothing and parameter estimation using Kalman and particle filters.

bayesian-inference control-systems controls data-assimilation dynamical-systems estimation extended-kalman-filter kalman-filter monte-carlo-methods parameter-estimation particle-filter prediction-error-method sequential-monte-carlo state-estimation state-estimation-algorithms state-estimation-filters system-identification unscented-kalman-filter virtual-sensing virtual-sensors

Last synced: 02 Aug 2024

https://github.com/mschauer/bridge.jl

A statistical toolbox for diffusion processes and stochastic differential equations. Named after the Brownian Bridge.

bayesian-inference brownian-motion diffusion diffusion-processes gamma-process julia levy-process mcmc ornstein-uhlenbeck sde simulating-diffusion-bridges stochastic-differential-equations vasicek

Last synced: 29 Sep 2024

https://github.com/JuliaGaussianProcesses/TemporalGPs.jl

Fast inference for Gaussian processes in problems involving time. Partly built on results from https://proceedings.mlr.press/v161/tebbutt21a.html

bayesian-inference gaussian-processes julia-language time-series

Last synced: 31 Jul 2024

https://github.com/juliagaussianprocesses/temporalgps.jl

Fast inference for Gaussian processes in problems involving time. Partly built on results from https://proceedings.mlr.press/v161/tebbutt21a.html

bayesian-inference gaussian-processes julia-language time-series

Last synced: 29 Sep 2024

https://github.com/acerbilab/pyvbmc

PyVBMC: Variational Bayesian Monte Carlo algorithm for posterior and model inference in Python

bayesian-inference data-analysis gaussian-processes machine-learning python variational-inference

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

Last synced: 31 Jul 2024

https://github.com/amzn/MXFusion

Modular Probabilistic Programming on MXNet

bayesian-inference machine-learning mxnet probabilistic-programming python variational-inference

Last synced: 01 Aug 2024

https://github.com/AlexIoannides/pymc-example-project

Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.

bayesian-data-analysis bayesian-inference data-science machine-learning numpy pandas probabilistic-programming pymc3 python scikit-learn

Last synced: 07 Aug 2024

https://github.com/jeremiecoullon/SGMCMCJax

Lightweight library of stochastic gradient MCMC algorithms written in JAX.

bayesian-inference jax sampling-methods

Last synced: 02 Aug 2024

https://github.com/hyosubkim/bayes-toolbox

bayes-toolbox

bayesian-inference bayesian-statistics kruschke probabilistic-programming python statistics

Last synced: 02 Aug 2024

https://github.com/m-clark/bayesian-basics

:no_entry_sign: :leftwards_arrow_with_hook: A document that introduces Bayesian data analysis.

bayesian bayesian-analysis bayesian-data-analysis bayesian-inference bayesian-methods bayesian-statistics brms gibbs hamiltonian-monte-carlo likelihood mcmc metropolis-hastings posterior-predictive posterior-probability prior r regression-models rstan rstanarm stan

Last synced: 02 Aug 2024

https://github.com/tingiskhan/pyfilter

Particle filtering and sequential parameter inference in Python

bayesian-inference particle-filter pytorch sequential-monte-carlo time-series

Last synced: 02 Aug 2024

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

WIP successor to Soss.jl

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

Last synced: 30 Sep 2024

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

Bayesian Generalized Linear models using `@formula` syntax.

bayesian-inference bayesian-statistics hmc julia-language mcmc turing

Last synced: 29 Sep 2024

https://github.com/ramon-oliveira/aorun

Deep Learning over PyTorch

bayesian-inference deeplearning neural-networks pytorch

Last synced: 03 Aug 2024

https://github.com/handley-lab/anesthetic

Nested Sampling post-processing and plotting

bayesian-inference fastkde matplotlib mcmc nested-sampling numpy pandas samples scipy

Last synced: 30 Sep 2024

https://github.com/google/bayesnf

Bayesian Neural Field models for prediction in large-scale spatiotemporal datasets

bayesian-inference data-science machine-learning spatiotemporal-data-analysis statistics

Last synced: 18 Sep 2024

https://github.com/SHI-Yu-Zhe/generative-modeling-explained

Ying Nian Wu's UCLA Statistical Machine Learning Tutorial on generative modeling.

adversarial-learning bayesian-inference diffusion-model energy-based-model equilibrium-sampling generative-modeling langevin-dynamics mcmc-sampling non-equilibrium-sampling score-based-generative-modeling variational-inference

Last synced: 04 Aug 2024

https://github.com/ropensci/babette

babette is an R package to work with BEAST2

bayesian-inference beast2 phylogenetics r r-package rstats

Last synced: 13 Aug 2024

https://github.com/AlexIoannides/pymc-stochastic-process

Bayesian Inference and parameter estimation in quant finance.

bayesian-inference probabilistic-programming pymc3 python quantitative-finance risk-modelling stochastic-processes

Last synced: 08 Aug 2024

https://github.com/merliseclyde/BAS

BAS R package https://merliseclyde.github.io/BAS/

bayesian bayesian-inference cran mcmc model-selection predictive-modeling r-package regression variable-selection

Last synced: 30 Jul 2024

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

Implementations of single and multi-ellipsoid nested sampling

bayesian-inference evidence-based nested-samplers nested-sampling

Last synced: 02 Aug 2024

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

A common framework for implementing and using log densities for inference.

bayesian bayesian-data-analysis bayesian-inference bayesian-methods julia mcmc

Last synced: 31 Jul 2024

https://github.com/pythoncharmers/maxentropy

Maximum entropy and minimum divergence models in Python

bayesian-inference kullback-leibler-divergence maximum-entropy minimum-divergence prior-distribution python scikit-learn

Last synced: 26 Sep 2024

https://github.com/geoscienceaustralia/hiqga.jl

High Quality Geophysical Analysis provides a general purpose Bayesian and deterministic inversion framework for various geophysical methods and spatially distributed / timeseries data

aem bayesian-inference csem gauss-newton gaussian-processes geophysics images julia-language magnetotellurics non-linear-regression parallel-tempering reversible-jump-mcmc trans-dimensional

Last synced: 29 Sep 2024

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

Examples for Bayesian inference using DynamicHMC.jl and related packages.

bayesian bayesian-data-analysis bayesian-inference julia julia-language julialang mcmc

Last synced: 29 Sep 2024

https://github.com/stefanwebb/flowtorch-old

Separating Normalizing Flows code from Pyro and improving API

bayesian-inference bayesian-statistics normalizing-flows probabilistic-graphical-models probabilistic-models probabilistic-programming pytorch

Last synced: 05 Aug 2024