Topic: bayesian Goto Github

👇 Here are 906 public repositories matching this topic...

amazaspshumik / sklearn-bayes
bayesian,Python package for Bayesian Machine Learning with scikit-learn API
User: amazaspshumik
bayesian bayesian-machine-learning machine-learning python scikit-learn

arviz-devs / arviz
bayesian,Exploratory analysis of Bayesian models with Python
Organization: arviz-devs
Home Page: https://python.arviz.org
python bayesian closember

avehtari / bda_py_demos
bayesian,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,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

avehtari / modelselection
bayesian,Case studies on model assessment, model selection and inference after model selection
User: avehtari
Home Page: https://users.aalto.fi/~ave/casestudies.html
bayesian variable-selection stan rstanarm

bayesgroup / deepbayes-2018
bayesian,Seminars DeepBayes Summer School 2018
Organization: bayesgroup
deep-learning bayesian variational-inference

brendanhasz / probflow
bayesian,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

ccs-lab / hbayesdm
bayesian,Hierarchical Bayesian modeling of RLDM tasks, using R & Python
Organization: ccs-lab
Home Page: https://ccs-lab.github.io/hBayesDM
bayesian computational decision-making hierarchical-bayesian-analysis modeling reinforcement-learning

easystats / bayestestr
bayesian,:ghost: Utilities for analyzing Bayesian models and posterior distributions
Organization: easystats
Home Page: https://easystats.github.io/bayestestR/
bayesian posterior-distributions r rstats easystats rope hdi map credible-interval bayesfactor

easystats / correlation
bayesian,:link: Methods for Correlation Analysis
Organization: easystats
Home Page: https://easystats.github.io/correlation/
correlation r easystats bayesian partial-correlations gaussian-graphical-models regression correlations matrix bayesian-correlations

easystats / report
bayesian,:scroll: :tada: Automated reporting of objects in R
Organization: easystats
Home Page: https://easystats.github.io/report/
reporting r apa reports statsmodels bayesian models automated-report-generation easystats rstats

ebtech / elo-mmr
bayesian,Skill estimation systems for multiplayer competitions
User: ebtech
Home Page: https://arxiv.org/abs/2101.00400
codeforces bayesian estimation competition skill rating rust elo

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

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

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

gempy-project / gempy
bayesian,GemPy is an open-source, Python-based 3-D structural geological modeling software, which allows the implicit (i.e. automatic) creation of complex geological models from interface and orientation data. It also offers support for stochastic modeling to address parameter and model uncertainties.
Organization: gempy-project
Home Page: https://gempy.org
uq bayesian interpolation geology modeling python uncertainty-analysis uncertainties complex-geological-models monte-carlo-simulation

google / lightweight_mmm
bayesian,LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channel attribution information.
Organization: google
Home Page: https://lightweight-mmm.readthedocs.io/en/latest/index.html
bayesian econometrics marketing-science mmm data-science

gpstuff-dev / gpstuff
bayesian,GPstuff - Gaussian process models for Bayesian analysis
Organization: gpstuff-dev
Home Page: http://research.cs.aalto.fi/pml/software/gpstuff/
bayesian gaussian-processes bayesian-inference bayesian-optimization classification regression survival-analysis spatial-analysis covariance-functions expectation-propagation

harry24k / bayesian-neural-network-pytorch
bayesian,PyTorch implementation of bayesian neural network.
User: harry24k
bayesian neural-network deep-learning pytorch

infocusp / diffusion_models
bayesian,Minimal standalone example of diffusion model
Organization: infocusp
deep- artificial-intelligence bayesian diffusion-model diffusion-models machine-learning

josejimenezluna / pygpgo
bayesian,Bayesian optimization for Python
User: josejimenezluna
Home Page: http://pygpgo.readthedocs.io
bayesian optimization machine-learning

js05212 / bayesiandeeplearning-survey
bayesian,Bayesian Deep Learning: A Survey
User: js05212
bayesian-deep-learning bdl variational-autoencoders survey arxiv bayesian neural-networks deep-learning machine-learning

kharchenkolab / baysor
bayesian,Bayesian Segmentation of Spatial Transcriptomics Data
Organization: kharchenkolab
spatial-transcriptomics segmentation bayesian

m-clark / miscellaneous-r-code
bayesian,Code that might be useful to others for learning/demonstration purposes, specifically along the lines of modeling and various algorithms. **Superseded by the models-by-example repo**.
User: m-clark
r stan jags matlab julia python bayesian mixed-models gaussian-processes factor-analysis

mattiasvillani / bayeslearncourse
bayesian,Bayesian Learning course at Stockholm University
User: mattiasvillani
statistics teaching bayesian mcmc

mingchaozhu / deeplearning
bayesian,Python for《Deep Learning》，该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现
User: mingchaozhu
bayesian deep-learning ensemble-learning machine-learning python regularization xgboost

muatik / naive-bayes-classifier
bayesian,yet another general purpose naive bayesian classifier.
User: muatik
bayes-classifier classifier python bayesian machine-learning

neuropsychology / psycho.r
bayesian,An R package for experimental psychologists
Organization: neuropsychology
Home Page: https://neuropsychology.github.io/psycho.R/
r psycho psychology correlation interpretation mixed-models bayesian rstanarm statistics neuroscience

pecanproject / pecan
bayesian,The Predictive Ecosystem Analyzer (PEcAn) is an integrated ecological bioinformatics toolbox.
Organization: pecanproject
Home Page: www.pecanproject.org
ecosystem-model pecan r national-science-foundation ecosystem-science bayesian plants meta-analysis data-science data-assimilation

pmorerio / dl-uncertainty
bayesian,"What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?", NIPS 2017 (unofficial code).
User: pmorerio
deep-learning bayesian uncertainty computer-vision

probabilisticai / probai-2019
bayesian,Materials of the Nordic Probabilistic AI School 2019.
Organization: probabilisticai
Home Page: https://probabilistic.ai
probabilistic-ai probabilistic-machine-learning probabilistic-models probabilistic-programming bayesian deep-generative-models summer-school

probcomp / gen.jl
bayesian,A general-purpose probabilistic programming system with programmable inference
Organization: probcomp
Home Page: https://gen.dev
probabilistic-programming gen deep-learning bayesian computer-vision machine-learning differentiable-programming robotics julia-language

pyro-ppl / pyro
bayesian,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

quantumjot / btrack
bayesian,Bayesian multi-object tracking
User: quantumjot
Home Page: https://btrack.readthedocs.io
tracking-algorithm object-tracking kalman-filter optimization bayesian multi-object-tracking cell-tracking btrack

shi-yu-zhe / awesome-agi-cocosci
bayesian,An awesome & curated list for Artificial General Intelligence, an emerging inter-discipline field that combines artificial intelligence and computational cognitive sciences.
User: shi-yu-zhe
awesome artificial-general-intelligence computational-cognitive-science abduction bayesian pragmatics theory-of-mind language-of-thought logic-programming developmental-psychology

sony / sqvae
bayesian,Pytorch implementation of stochastically quantized variational autoencoder (SQ-VAE)
Organization: sony
bayesian deep-generative-model generative-model gumbel-softmax machine-learning pytorch vae variational-autoencoder vector-quantization vq-vae

stan-dev / bayesplot
bayesian,bayesplot R package for plotting Bayesian models
Organization: stan-dev
Home Page: https://mc-stan.org/bayesplot
pandoc r-package statistical-graphics stan bayesian ggplot2 visualization mcmc

stan-dev / cmdstanr
bayesian,CmdStanR: the R interface to CmdStan
Organization: stan-dev
Home Page: https://mc-stan.org/cmdstanr/
r-package stan bayesian mcmc variational-inference maximum-likelihood markov-chain-monte-carlo

stan-dev / loo
bayesian,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 / posterior
bayesian,The posterior R package
Organization: stan-dev
Home Page: https://mc-stan.org/posterior/
bayesian mcmc r-package

stan-dev / rstanarm
bayesian,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,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,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

storopoli / bayesian-statistics
bayesian,This repository holds slides and code for a full Bayesian statistics graduate course.
User: storopoli
bayesian bayesian-statistics course julia probabilistic-programming probability stan turing

tpapp / dynamichmc.jl
bayesian,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

uber / orbit
bayesian,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

uncomplicate / bayadera
bayesian,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 / probabilistic-models
bayesian,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

wujian16 / cornell-moe
bayesian,A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.
User: wujian16
bayesian bayesian-optimization machine-learning gaussian-processes hyperparameter-optimization optimization

wwrechard / pydlm
bayesian,A python library for Bayesian time series modeling
User: wwrechard
time-series timeseries bayesian python dlm model seasonality trends statistics