Topic: bayesian-methods Goto Github

👇 Here are 330 public repositories matching this topic...

amidst / toolbox
bayesian-methods,A Java Toolbox for Scalable Probabilistic Machine Learning
Organization: amidst
Home Page: http://www.amidsttoolbox.com
data-science machine-learning bayesian-methods bayesian-networks streaming-data latent-variable-models graphical-models

bayeswatch / deep-kernel-transfer
bayesian-methods,Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)
Organization: bayeswatch
Home Page: https://arxiv.org/abs/1910.05199
gaussian-processes few-shot-learning bayesian-methods deep-learning deep-kernel-learning one-shot-learning kernel-methods classification regression gpytorch

biaslab / forneylab.jl
bayesian-methods,Julia package for automatically generating Bayesian inference algorithms through message passing on Forney-style factor graphs.
Organization: biaslab
bayesian-methods machine-learning factor-graph probabilistic-graphical-models probabilistic-programming state-space-models

blei-lab / edward
bayesian-methods,A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
Organization: blei-lab
Home Page: http://edwardlib.org
bayesian-methods deep-learning machine-learning data-science tensorflow neural-networks statistics probabilistic-programming

brendanhasz / probflow
bayesian-methods,A Python package for building Bayesian models with TensorFlow or PyTorch
User: brendanhasz
Home Page: http://probflow.readthedocs.io
machine-learning data-science python tensorflow statistics bayesian-inference bayesian-statistics bayesian-methods bayesian-neural-networks pytorch

camdavidsonpilon / probabilistic-programming-and-bayesian-methods-for-hackers
bayesian-methods,aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
User: camdavidsonpilon
Home Page: http://camdavidsonpilon.github.io/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/
bayesian-methods pymc mathematical-analysis jupyter-notebook data-science statistics

cgre-aachen / bayseg
bayesian-methods,An unsupervised machine learning algorithm for the segmentation of spatial data sets.
Organization: cgre-aachen
segmentation python3 hidden-markov-models bayesian-methods gaussian-mixture-models gibbs-energy gibbs-sampling markov-chain machine-learning mixture-model

chritoth / active-bayesian-causal-inference
bayesian-methods,Active Bayesian Causal Inference (Neurips'22)
User: chritoth
active-learning bayesian-methods causal-discovery causal-inference causal-reasoning experimental-design gaussian-processes probabilistic-machine-learning

ericmjl / bayesian-analysis-recipes
bayesian-methods,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

fehiepsi / rethinking-pyro
bayesian-methods,Statistical Rethinking with PyTorch and Pyro
User: fehiepsi
Home Page: https://fehiepsi.github.io/rethinking-pyro/
bayesian-data-analysis bayesian-inference bayesian-statistics bayesian-methods

frankportman / bayesab
bayesian-methods,🐢 bayesAB: Fast Bayesian Methods for A/B Testing
User: frankportman
Home Page: http://frankportman.github.io/bayesAB/
ab-testing bayesian-methods bayesian-tests cran r

google-research / hyperbo
bayesian-methods,Pre-trained Gaussian processes for Bayesian optimization
Organization: google-research
Home Page: https://arxiv.org/abs/2109.08215
bayesian-methods bayesian-optimization deep-learning hyperparameter-tuning machine-learning

google / edward2
bayesian-methods,A simple probabilistic programming language.
Organization: google
bayesian-methods deep-learning machine-learning data-science tensorflow neural-networks statistics probabilistic-programming

google / uncertainty-baselines
bayesian-methods,High-quality implementations of standard and SOTA methods on a variety of tasks.
Organization: google
bayesian-methods deep-learning machine-learning data-science tensorflow neural-networks statistics probabilistic-programming

grinisrit / noa
bayesian-methods,Differentiable Programming Algorithms in Modern C++
User: grinisrit
Home Page: https://www.grinisrit.com
algorithmic-trading game-development deep-learning bayesian-methods simulation streaming-analytics particle-physics cpp17 optimization optimisation-algorithms

jbrea / bayesianoptimization.jl
bayesian-methods,Bayesian optimization for Julia
User: jbrea
bayesian-methods bayesian-optimization gaussian-processes julia machine-learning optimization

jonsedar / pymc3_vs_pystan
bayesian-methods,Personal project to compare hierarchical linear regression in PyMC3 and PyStan, as presented at http://pydata.org/london2016/schedule/presentation/30/ video: https://www.youtube.com/watch?v=Jb9eklfbDyg
User: jonsedar
pymc3 pystan bayesian-inference bayesian-methods hierarchical-models

junpenglao / bayesian-cognitive-modeling-in-pymc3
bayesian-methods,PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course
User: junpenglao
pymc3 bayesian-inference bayesian-methods data-science data-analysis statistics

kieranrcampbell / ouija
bayesian-methods,Descriptive probabilistic marker gene approach to single-cell pseudotime inference
User: kieranrcampbell
Home Page: http://kieranrcampbell.github.io/ouija
single-cell gene-expression factor-analysis bayesian-methods

krasserm / bayesian-machine-learning
bayesian-methods,Notebooks about Bayesian methods for machine learning
User: krasserm
machine-learning bayesian-methods bayesian-machine-learning gaussian-processes bayesian-optimization variational-autoencoder

lawmurray / birch
bayesian-methods,A probabilistic programming language that combines automatic differentiation, automatic marginalization, and automatic conditioning within Monte Carlo methods.
User: lawmurray
Home Page: https://birch.sh
autodiff machine-learning-algorithms machine-learning-projects monte-carlo-methods monte-carlo-sampling probabilistic-programming-languages bayesian bayesian-inference bayesian-methods bayesian-statistics

m-clark / bayesian-basics
bayesian-methods,:no_entry_sign: :leftwards_arrow_with_hook: A document that introduces Bayesian data analysis.
User: m-clark
Home Page: https://m-clark.github.io/bayesian-basics/
bayesian-inference bayesian-methods stan rstan r bayesian-statistics bayesian mcmc hamiltonian-monte-carlo gibbs posterior-probability prior likelihood metropolis-hastings posterior-predictive regression-models bayesian-analysis bayesian-data-analysis brms rstanarm

markovmodel / pyemma
bayesian-methods,🚂 Python API for Emma's Markov Model Algorithms 🚂
Organization: markovmodel
Home Page: http://pyemma.org
python hidden-markov-model molecular-dynamics analysis markov-state-model tica time-series hmm bayesian-methods markov-model

matheusportela / multiagent-rl
bayesian-methods,Multiagent reinforcement learning simulation framework - Undergraduate thesis in Mechatronics Engineering at the University of Brasília
User: matheusportela
reinforcement-learning multiagent-systems python q-learning bayesian-methods pacman-game

n-kall / priorsense
bayesian-methods,priorsense: an R package for prior diagnostics and sensitivity
User: n-kall
bayesian-data-analysis bayesian-methods prior-distribution r-package sensitivity-analysis stan bayesian r

nansencenter / da-tutorials
bayesian-methods,Tutorials on data assimilation (DA) and the EnKF
Organization: nansencenter
bayesian-methods chaos data-assimilation enkf kalman-filtering state-estimation

nansencenter / dapper
bayesian-methods,Data Assimilation with Python: a Package for Experimental Research
Organization: nansencenter
Home Page: https://nansencenter.github.io/DAPPER
data-assimilation enkf kalman-filtering state-estimation particle-filter kalman bayesian-methods bayesian-filter chaos

nimble-dev / nimble
bayesian-methods,The base NIMBLE package for R
Organization: nimble-dev
Home Page: http://R-nimble.org
bayesian-inference mcmc hierarchical-models probabilistic-programming bayesian-methods r

numcosmo / numcosmo
bayesian-methods,NumCosmo main code
Organization: numcosmo
Home Page: http://numcosmo.github.io/
numerical-calculations cosmology large-scale-structure bayesian-methods numerical-optimization fisher-matrix monte-carlo c gobject gobject-introspection

ofai / bayesiannonparametrics.jl
bayesian-methods,BayesianNonparametrics in julia
Organization: ofai
Home Page: http://ofai.at
bayesian-nonparametric-models julia dirichlet-process-mixtures bayesian-machine-learning bayesian-methods

pints-team / pints
bayesian-methods,Probabilistic Inference on Noisy Time Series
Organization: pints-team
Home Page: http://pints.readthedocs.io
bayesian-methods inverse-problems parameter-estimation numerical-optimization

pyxu-org / pyxu
bayesian-methods,Modular and scalable computational imaging in Python with GPU/out-of-core computing.
Organization: pyxu-org
Home Page: https://pyxu-org.github.io/
bayesian-methods computational-imaging computer-vision foundation-models image-enhancement image-processing image-reconstruction image-restoration inverse-problem python-library

ranery / bayesian-cyclegan
bayesian-methods,[TNNLS] Bayesian Cycle-Consistent Generative Adversarial Networks via Marginalizing Latent Sampling
User: ranery
Home Page: https://ieeexplore.ieee.org/document/9186319
bayesian-methods cyclegan generative-adversarial-network image-segmentation image-translation

rfeinman / pybpl
bayesian-methods,Python implementation of Bayesian Program Learning tools (with PyTorch)
User: rfeinman
program-learning bayesian-methods differentiable-rendering splines pytorch

rhayes777 / pyautofit
bayesian-methods,PyAutoFit: Classy Probabilistic Programming
User: rhayes777
Home Page: https://pyautofit.readthedocs.io/
probabilistic-programming statistics bayesian-inference bayesian-methods model astronomy statistical-analysis stats mcmc graphical-models

rohinarora / eece5644-machine_learning
bayesian-methods,Graduate course on Machine Learning
User: rohinarora
machine-learning northeastern-university northeastern machinelearning machine-learning-algorithms deep-learning deeplearning machine-learning-tutorials machine-learning-courses bayesian-methods

shmuma / rethinking-2ed-julia
bayesian-methods,Port of Statistical Rethinking (2nd edition) code to Julia
User: shmuma
julia bayesian-methods statistics

soroosh-rz / bayesian-methods-for-machine-learning
bayesian-methods,Bayesian Methods for Machine Learning
User: soroosh-rz
bayesian-methods coursera expectation-maximization latent-variable-models machine-learning variational-inference

stan-dev / loo
bayesian-methods,loo R package for approximate leave-one-out cross-validation (LOO-CV) and Pareto smoothed importance sampling (PSIS)
Organization: stan-dev
Home Page: https://mc-stan.org/loo
cross-validation stan r-package bayesian-data-analysis information-criterion bayesian-methods model-comparison bayesian bayesian-inference bayesian-statistics

stan-dev / rstanarm
bayesian-methods,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 / shinystan
bayesian-methods,shinystan R package and ShinyStan GUI
Organization: stan-dev
Home Page: https://mc-stan.org/shinystan
stan mcmc r-package statistical-graphics shiny-apps r bayesian bayesian-statistics bayesian-inference bayesian-data-analysis

stan-dev / stan
bayesian-methods,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

stephenslab / rss
bayesian-methods,Regression with Summary Statistics.
Organization: stephenslab
Home Page: https://stephenslab.github.io/rss
bayesian-methods gwas-summary-statistics mcmc variational-inference heritability genetic-associations enrichment-analysis gene-prioritization

tensorflow / probability
bayesian-methods,Probabilistic reasoning and statistical analysis in TensorFlow
Organization: tensorflow
Home Page: https://www.tensorflow.org/probability/
tensorflow bayesian-methods deep-learning machine-learning data-science neural-networks statistics probabilistic-programming

tgdivy / mbti-personality-classifier
bayesian-methods,A model which uses your social media posting predict your MBTI personality type.
User: tgdivy
mbti mbti-personality python3 machine-learning natural-language-processing nltk-library nltk-python nltk pandas numpy

tpapp / dynamichmc.jl
bayesian-methods,Implementation of robust dynamic Hamiltonian Monte Carlo methods (NUTS) in Julia.
User: tpapp
julia-language hybrid-monte-carlo bayesian-inference bayesian-methods bayesian hamiltonian-monte-carlo julia bayesian-statistics

tpapp / logdensityproblems.jl
bayesian-methods,A common framework for implementing and using log densities for inference.
User: tpapp
julia bayesian-inference bayesian bayesian-methods bayesian-data-analysis mcmc

uber / orbit
bayesian-methods,A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
Organization: uber
Home Page: https://orbit-ml.readthedocs.io/en/stable/
python forecasting bayesian exponential-smoothing pyro stan pystan probabilistic-programming probabilistic forecast

weijie-chen / bayesian-statistics-econometrics
bayesian-methods,Bayesian Statistics-Econometrics
User: weijie-chen
bayesian-inference bayesian-methods bayesian-statistics econometrics statistics

wpgp / wopr
bayesian-methods,An R package and Shiny application to provide API access to the WorldPop Open Population Repository (WOPR)
Organization: wpgp
Home Page: https://apps.worldpop.org/woprVision
bayesian-methods r-package shiny-apps population-model