Topic: bayesian-inference Goto Github

👇 Here are 1668 public repositories matching this topic...

askurz / statistical_rethinking_with_brms_ggplot2_and_the_tidyverse
bayesian-inference,The bookdown version lives here: https://bookdown.org/content/3890
User: askurz
bayesian-inference brms tidyverse rethinking regression

avehtari / bda_py_demos
bayesian-inference,Bayesian Data Analysis demos for Python
User: avehtari
Home Page: https://avehtari.github.io/BDA_course_Aalto/demos.html#BDA_Python_demos
python bayesian-data-analysis bayesian-inference bayesian mcmc stan

avehtari / bda_r_demos
bayesian-inference,Bayesian Data Analysis demos for R
User: avehtari
Home Page: https://avehtari.github.io/BDA_course_Aalto/demos.html
bayesian-data-analysis r bayesian-inference bayesian mcmc stan monte-carlo

awslabs / fortuna
bayesian-inference,A Library for Uncertainty Quantification.
Organization: awslabs
Home Page: https://aws-fortuna.readthedocs.io/en/latest/
deep-learning neural-networks uncertainty uncertainty-estimation uncertainty-quantification bayesian-inference calibration conformal-prediction model-calibration uncertainty-calibration

bambinos / bambi
bayesian-inference,BAyesian Model-Building Interface (Bambi) in Python.
Organization: bambinos
Home Page: https://bambinos.github.io/bambi/
bayesian-inference python regression-models statistical-analysis

blackjax-devs / blackjax
bayesian-inference,BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.
Organization: blackjax-devs
Home Page: https://blackjax-devs.github.io/blackjax/
probabilistic-programming bayesian-inference sampling-methods hamiltonian-monte-carlo

brylevkirill / notes
bayesian-inference,Learn about Machine Learning and Artificial Intelligence
User: brylevkirill
artificial-intelligence machine-learning deep-learning reinforcement-learning bayesian-inference probabilistic-programming knowledge-representation reasoning causal-inference knowledge-graph

cscherrer / soss.jl
bayesian-inference,Probabilistic programming via source rewriting
User: cscherrer
Home Page: https://cscherrer.github.io/Soss.jl/stable/
julia julia-language julia-library probabilistic-programming bayesian-inference bayesian-statistics metaprogramming

ctallec / pyvarinf
bayesian-inference,Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch
User: ctallec
bayesian-inference deep-learning

dawenl / vae_cf
bayesian-inference,Variational autoencoders for collaborative filtering
User: dawenl
recommender-systems collaborative-filtering variational-autoencoder bayesian-inference

ddbourgin / numpy-ml
bayesian-inference,Machine learning, in numpy
User: ddbourgin
Home Page: https://numpy-ml.readthedocs.io/
machine-learning neural-networks topic-modeling gaussian-mixture-models hidden-markov-models gradient-boosting bayesian-inference wavenet vae resnet

dotnet / infer
bayesian-inference,Infer.NET is a framework for running Bayesian inference in graphical models
Organization: dotnet
Home Page: https://dotnet.github.io/infer/
machine-learning bayesian-inference

elfi-dev / elfi
bayesian-inference,ELFI - Engine for Likelihood-Free Inference
Organization: elfi-dev
Home Page: http://elfi.readthedocs.io
inference simulator python statistics bayesian-inference bayesian likelihood-free

erdogant / bnlearn
bayesian-inference,Python library for learning the graphical structure of Bayesian networks, parameter learning, inference and sampling methods.
User: erdogant
Home Page: https://erdogant.github.io/bnlearn
bayesian-inference causal causal-models causal-networks causality-analysis dag directed-acyclic-graph machine-learning parameter-learning python sampling-methods structure-learning

ericmjl / bayesian-analysis-recipes
bayesian-inference,A collection of Bayesian data analysis recipes using PyMC3
User: ericmjl
Home Page: https://ericmjl.github.io/bayesian-analysis-recipes
bayesian-inference bayesian bayesian-statistics bayesian-data-analysis bayesian-analysis bayesian-methods notebook treatment-groups neural-networks

ericmjl / bayesian-stats-modelling-tutorial
bayesian-inference,How to do Bayesian statistical modelling using numpy and PyMC3
User: ericmjl
pymc bayesian bayesian-data-science bayesian-inference bayesian-statistics bayesian-data-analysis

frbny-dsge / dsge.jl
bayesian-inference,Solve and estimate Dynamic Stochastic General Equilibrium models (including the New York Fed DSGE)
Organization: frbny-dsge
Home Page: https://frbny-dsge.github.io/DSGE.jl/latest/
economics macroeconomics dsge bayesian-inference statistical-models dynamical-systems

google / neural-tangents
bayesian-inference,Fast and Easy Infinite Neural Networks in Python
Organization: google
Home Page: https://iclr.cc/virtual_2020/poster_SklD9yrFPS.html
neural-networks infinite-networks gaussian-processes training-dynamics neural-tangents jax kernel deep-networks kernel-computation gradient-descent

indrajeetpatil / statsexpressions
bayesian-inference,Tidy data frames and expressions with statistical summaries 📜
User: indrajeetpatil
Home Page: https://indrajeetpatil.github.io/statsExpressions/
statistical-tests statistical-details meta-analysis contingency-table robust correlation parametric bayesian-inference bayesian-statistics robust-statistics

intellabs / bayesian-torch
bayesian-inference,A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch
Organization: intellabs
bayesian-deep-learning bayesian-inference bayesian-layers bayesian-neural-networks deep-learning deep-neural-networks pytorch stochastic-variational-inference uncertainty-estimation uncertainty-neural-networks uncertainty-quantification

janosh / awesome-normalizing-flows
bayesian-inference,Awesome resources on normalizing flows.
User: janosh
normalizing-flows bayesian-neural-networks variational-inference density-estimation generative-modeling autoregressive machine-learning awesome-list bayesian-inference

javierantoran / bayesian-neural-networks
bayesian-inference,Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
User: javierantoran
deep-learning bayesian-inference pytorch reproducible-research bayesian-neural-networks bayes-by-backprop mc-dropout mcmc variational-inference kronecker-factored-approximation

jaxgaussianprocesses / gpjax
bayesian-inference,Gaussian processes in JAX.
Organization: jaxgaussianprocesses
Home Page: https://docs.jaxgaussianprocesses.com/
gaussian-processes jax probabilistic-programming bayesian-inference machine-learning

joshspeagle / dynesty
bayesian-inference,Dynamic Nested Sampling package for computing Bayesian posteriors and evidences
User: joshspeagle
Home Page: https://dynesty.readthedocs.io/
nested-sampling pure-python mit-license bayesian-inference monte-carlo model-selection

juliagaussianprocesses / stheno.jl
bayesian-inference,Probabilistic Programming with Gaussian processes in Julia
Organization: juliagaussianprocesses
bayesian-inference probabilistic-programming approximate-inference gaussian-processes machine-learning

juliamath / measuretheory.jl
bayesian-inference,"Distributions" that might not add to one.
Organization: juliamath
julia probabilistic-programming bayesian-inference probability statistics machine-learning

jwarmenhoven / dbda-python
bayesian-inference,Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code
User: jwarmenhoven
bayesian-data-analysis bayesian-inference pymc3 mcmc hierarchical-models kruschke probabilistic-programming

ksachdeva / rethinking-tensorflow-probability
bayesian-inference,Statistical Rethinking (2nd Ed) with Tensorflow Probability
User: ksachdeva
Home Page: https://ksachdeva.github.io/rethinking-tensorflow-probability/
tensorflow tensorflow-probability bayesian-inference bayesian-statistics statistical-rethinking tutorials markov-chain-monte-carlo variational-inference

kumar-shridhar / master-thesis-bayesiancnn
bayesian-inference,Master Thesis on Bayesian Convolutional Neural Network using Variational Inference
User: kumar-shridhar
bayesian-inference bayesian-neural-networks convolutional-neural-networks super-resolution generative-adversarial-network bayesian-deep-learning

kumar-shridhar / pytorch-bayesiancnn
bayesian-inference,Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
User: kumar-shridhar
convolutional-neural-networks bayesian-network bayesian-convnets bayes-by-backprop pytorch python pytorch-cnn bayesian-neural-networks bayesian-deep-learning bayesian-inference

mckinsey / causalnex
bayesian-inference,A Python library that helps data scientists to infer causation rather than observing correlation.
Organization: mckinsey
Home Page: http://causalnex.readthedocs.io/
causal-inference causal-models causal-networks bayesian-networks bayesian-inference machine-learning data-science causalnex

nchopin / particles
bayesian-inference,Sequential Monte Carlo in python
User: nchopin
particle-filter sequential-monte-carlo bayesian-inference pmcmc smc2 quasi-monte-carlo kalman-filter

ohirose / bcpd
bayesian-inference,Bayesian Coherent Point Drift (BCPD/BCPD++/GBCPD/GBCPD++)
User: ohirose
Home Page: https://ieeexplore.ieee.org/document/9918058
shape-analysis non-rigid-registration variational-inference shape-deformation point-cloud-registration shape-matching point-set-registration downsampling gaussian-processes bayesian-inference

paul-buerkner / brms
bayesian-inference,brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan
User: paul-buerkner
Home Page: https://paul-buerkner.github.io/brms/
brms stan bayesian-inference multilevel-models statistical-models r-package

pptacher / probabilistic_robotics
bayesian-inference,solution of exercises of the book "probabilistic robotics"
User: pptacher
probabilistic-robotics bayesian-inference kalman-filter slam navigation particle-filter julia matlab numpy cpp

pymc-devs / pymc
bayesian-inference,Bayesian Modeling and Probabilistic Programming in Python
Organization: pymc-devs
Home Page: https://docs.pymc.io/
python statistical-analysis bayesian-inference mcmc variational-inference probabilistic-programming pytensor

pymc-devs / pymc-resources
bayesian-inference,PyMC educational resources
Organization: pymc-devs
bayesian-inference bayesian-statistics data-science data-analysis

pymc-devs / pytensor
bayesian-inference,PyTensor allows you to define, optimize, and efficiently evaluate mathematical expressions involving multi-dimensional arrays.
Organization: pymc-devs
Home Page: https://pytensor.readthedocs.io
ai bayesian-inference computational-science deep-learning statistics

pyro-ppl / numpyro
bayesian-inference,Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
Organization: pyro-ppl
Home Page: https://num.pyro.ai
pyro jax hmc inference-algorithms numpy bayesian-inference probabilistic-programming mcmc

pyro-ppl / pyro
bayesian-inference,Deep universal probabilistic programming with Python and PyTorch
Organization: pyro-ppl
Home Page: http://pyro.ai
python pytorch machine-learning bayesian probabilistic-programming bayesian-inference variational-inference probabilistic-modeling deep-learning

sbi-dev / sbi
bayesian-inference,Simulation-based inference toolkit
Organization: sbi-dev
Home Page: https://sbi-dev.github.io/sbi/
simulation-based-inference likelihood-free-inference bayesian-inference parameter-estimation pytorch machine-learning

stan-dev / rstan
bayesian-inference,RStan, the R interface to Stan
Organization: stan-dev
Home Page: https://mc-stan.org
stan mcmc bayesian-inference bayesian-data-analysis bayesian-statistics r r-package

stan-dev / rstanarm
bayesian-inference,rstanarm R package for Bayesian applied regression modeling
Organization: stan-dev
Home Page: https://mc-stan.org/rstanarm
stan multilevel-models r-package bayesian bayesian-inference bayesian-methods bayesian-statistics bayesian-data-analysis statistical-modeling r

stan-dev / stan
bayesian-inference,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.
Organization: stan-dev
Home Page: https://mc-stan.org
stan bayesian-inference bayesian bayesian-methods bayesian-statistics bayesian-data-analysis

stefanradev93 / bayesflow
bayesian-inference,A Python library for amortized Bayesian workflows using generative neural networks.
User: stefanradev93
Home Page: https://bayesflow.org/
bayesian-inference deep-learning model-comparison amortized-inference simulation-based invertible-networks parameter-estimation likelihood-free uncertainty-quantification

thu-ml / zhusuan
bayesian-inference,A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow
Organization: thu-ml
Home Page: http://zhusuan.readthedocs.io
bayesian-inference probabilistic-programming graphical-models generative-models deep-learning

turinglang / turing.jl
bayesian-inference,Bayesian inference with probabilistic programming.
Organization: turinglang
Home Page: https://turinglang.org
machine-learning probabilistic-programming julia-language artificial-intelligence bayesian-inference hamiltonian-monte-carlo turing bayesian-statistics mcmc hmc

uncomplicate / bayadera
bayesian-inference,High-performance Bayesian Data Analysis on the GPU in Clojure
Organization: uncomplicate
clojure bayesian-inference bayesian-data-analysis gpu-computing gpu-acceleration statistics machine-learning clojure-library bayesian opencl cuda high-performance-computing gpu mcmc markov-chain-monte-carlo

wiseodd / mcmc
bayesian-inference,Collection of Monte Carlo (MC) and Markov Chain Monte Carlo (MCMC) algorithms applied on simple examples.
User: wiseodd
Home Page: https://wiseodd.github.io
machine-learning mcmc markov-chain-monte-carlo sampling-methods bayesian-inference

wiseodd / probabilistic-models
bayesian-inference,Collection of probabilistic models and inference algorithms
User: wiseodd
Home Page: https://wiseodd.github.io
probabilistic-models python machine-learning bayesian bayesian-inference mcmc gibbs-sampling variational-inference dirichlet-process